Triple
T30791576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 75 Squadron RAAF |
E784110
|
entity |
| Predicate | equipmentLabel |
P113532
|
FINISHED |
| Object | aircraft |
—
|
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: aircraft | Statement: [No. 75 Squadron RAAF, equipmentLabel, aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equipmentLabel Context triple: [No. 75 Squadron RAAF, equipmentLabel, aircraft]
-
A.
labelMate
Indicates that two entities are associated with the same label, such as being signed to or represented by the same organization, brand, or record label.
-
B.
labelOf
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
C.
equipmentIncludes
chosen
Indicates that one entity contains, comprises, or has as part of its set of items a specified piece or set of equipment.
-
D.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
E.
deviceRepresents
Indicates that one device stands for, symbolizes, or serves as a representation of another entity or concept.
- 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_69f224b2e2a48190b19aa43db9da5b67 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6900dbd908190baf39dd5cf37d619 |
completed | May 3, 2026, midnight |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:42 p.m.