Triple
T5387283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Definition |
E120230
|
entity |
| Predicate | hasShortName |
P1354
|
FINISHED |
| Object |
OD
OD is the commonly used abbreviation for the Open Definition, a standard that sets out principles for what qualifies as open data and open content.
|
E515107
|
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: OD | Statement: [Open Definition, hasShortName, OD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OD Context triple: [Open Definition, hasShortName, OD]
-
A.
O
O is a renowned Cirque du Soleil aquatic-themed stage production in Las Vegas, celebrated for its elaborate water-based acrobatics and visual spectacle.
-
B.
OM
OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
-
C.
OM
OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
-
D.
OM
OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
-
E.
OM
OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
- 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: OD Triple: [Open Definition, hasShortName, OD]
Generated description
OD is the commonly used abbreviation for the Open Definition, a standard that sets out principles for what qualifies as open data and open content.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OD Target entity description: OD is the commonly used abbreviation for the Open Definition, a standard that sets out principles for what qualifies as open data and open content.
-
A.
O
O is a renowned Cirque du Soleil aquatic-themed stage production in Las Vegas, celebrated for its elaborate water-based acrobatics and visual spectacle.
-
B.
OM
OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
-
C.
OM
OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
-
D.
OM
OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
-
E.
OM
OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd86f8d81081909174027a4fe640f2 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf295542b08190849e48dbf826d9ec |
completed | March 21, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69bf2a0aa4608190ad696442aa56dad5 |
completed | March 21, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2a64313881908d12d0c27a97927b |
completed | March 21, 2026, 11:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.