Triple
T15688558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logo |
E380264
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | FMSLogo |
E718654
|
NE FINISHED |
How this triple was built (2 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, influenced, FMSLogo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FMSLogo Context triple: [Logo, influenced, FMSLogo]
-
A.
FMSLogo
chosen
FMSLogo is a free, open-source implementation of the Logo programming language designed primarily for educational use, especially in teaching programming concepts to children.
-
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.
FMS
FMS is the post-nominal abbreviation used by members of the Marist Brothers, a Catholic religious institute dedicated to education and youth work.
-
D.
FMA
FMA is an acronym commonly used for Fault Management Architecture, a system framework for detecting, diagnosing, and resolving hardware and software faults in computing environments.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee91340819086c8f51e8eb477aa |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:44 a.m.