Triple
T8201291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logo |
E191579
|
entity |
| Predicate | hasImplementation |
P3697
|
FINISHED |
| Object |
FMSLogo
FMSLogo is a free, open-source implementation of the Logo programming language designed primarily for educational use, especially in teaching programming concepts to children.
|
E718654
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: FMSLogo | Statement: [Logo, hasImplementation, FMSLogo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FMSLogo Context triple: [Logo, hasImplementation, FMSLogo]
-
A.
FMS
FMS is the post-nominal abbreviation used by members of the Marist Brothers, a Catholic religious institute dedicated to education and youth work.
-
B.
FMS
FMS refers to the U.S. Foreign Military Sales program, through which the U.S. government sells defense articles, services, and training to foreign governments and international organizations.
-
C.
FMC
FMC is the Spanish acronym for the Federation of Cuban Women, a mass organization in Cuba dedicated to advancing women's rights and gender equality.
-
D.
FMU
FMU is a public university in Florence, South Carolina, known for its liberal arts and professional programs.
-
E.
FAMS
FAMS is the Federal Air Marshal Service, a U.S. law enforcement agency that deploys armed marshals on commercial flights to deter and respond to aviation-related threats.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FMSLogo Triple: [Logo, hasImplementation, FMSLogo]
Generated description
FMSLogo is a free, open-source implementation of the Logo programming language designed primarily for educational use, especially in teaching programming concepts to children.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FMSLogo Target entity description: FMSLogo is a free, open-source implementation of the Logo programming language designed primarily for educational use, especially in teaching programming concepts to children.
-
A.
FMS
FMS refers to the U.S. Foreign Military Sales program, through which the U.S. government sells defense articles, services, and training to foreign governments and international organizations.
-
B.
FMS
FMS is the post-nominal abbreviation used by members of the Marist Brothers, a Catholic religious institute dedicated to education and youth work.
-
C.
FMC
FMC is the Spanish acronym for the Federation of Cuban Women, a mass organization in Cuba dedicated to advancing women's rights and gender equality.
-
D.
FMU
FMU is a public university in Florence, South Carolina, known for its liberal arts and professional programs.
-
E.
FAMS
FAMS is the Federal Air Marshal Service, a U.S. law enforcement agency that deploys armed marshals on commercial flights to deter and respond to aviation-related threats.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5df6e7548190846a1afd62ec6d0a |
completed | March 31, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedc49ba4819099762f200c4e6577 |
completed | April 1, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_69ccf1b818588190936f96d53bf08c2b |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd05ac594c819087d23a7318fd7704 |
completed | April 1, 2026, 11:46 a.m. |
Created at: March 30, 2026, 5:43 p.m.