Triple
T22911879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A&M 31454 0526 2 |
E568616
|
entity |
| Predicate | hasComponentNumber |
P66286
|
FINISHED |
| Object | 31454 |
—
|
LITERAL 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: 31454 | Statement: [A&M 31454 0526 2, hasComponentNumber, 31454]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentNumber Context triple: [A&M 31454 0526 2, hasComponentNumber, 31454]
-
A.
hasComponentCount
Indicates that an entity is associated with a specific number of components it contains or comprises.
-
B.
hasPartNumber
chosen
Indicates that one entity is assigned or associated with a specific part number used to identify it within a catalog, system, or inventory.
-
C.
hasComponentForm
Indicates that one entity exists as a structural or compositional form or variant of another entity.
-
D.
hasNumberInStructure
Indicates that an entity’s structure includes or contains a specific numerical value or component.
-
E.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
- F. None of above.
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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18075a0048190bd150e2badeeb7c2 |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.