Triple
T11497299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade Athlétique Montluçonnais (rugby union) |
E272569
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SAM
SAM is the commonly used abbreviation for Stade Athlétique Montluçonnais, a French rugby union club.
|
E929193
|
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: SAM | Statement: [Stade Athlétique Montluçonnais (rugby union), abbreviation, SAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAM Context triple: [Stade Athlétique Montluçonnais (rugby union), abbreviation, SAM]
-
A.
SAM
SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
-
B.
SAM
SAM is the commonly used abbreviation for the South Australian Museum, a major natural history and cultural institution located in Adelaide, Australia.
-
C.
SAM
SAM is the three-letter international code used to represent the Samoa national rugby league team in official competitions and records.
-
D.
SAM
SAM is the official FIFA trigramme used to represent the Samoa national under-20 football team in international competitions and records.
-
E.
SAM
SAM is an online training and assessment platform used primarily in education for teaching and evaluating computer and digital literacy skills.
- 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: SAM Triple: [Stade Athlétique Montluçonnais (rugby union), abbreviation, SAM]
Generated description
SAM is the commonly used abbreviation for Stade Athlétique Montluçonnais, a French rugby union club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAM Target entity description: SAM is the commonly used abbreviation for Stade Athlétique Montluçonnais, a French rugby union club.
-
A.
SAM
SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
-
B.
SAM
SAM is the commonly used abbreviation for the South Australian Museum, a major natural history and cultural institution located in Adelaide, Australia.
-
C.
SAM
SAM is the three-letter international code used to represent the Samoa national rugby league team in official competitions and records.
-
D.
SAM
SAM is the official FIFA trigramme used to represent the Samoa national under-20 football team in international competitions and records.
-
E.
SAM
SAM is an online training and assessment platform used primarily in education for teaching and evaluating computer and digital literacy skills.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60497be2c8190a82362280e51698a |
completed | April 20, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69e610a6de0c8190aabda7ef7b7063a6 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e61842b8848190b454cee480c69f7a |
completed | April 20, 2026, 12:12 p.m. |
Created at: April 8, 2026, 9:36 p.m.