Triple
T2336767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Garry Horse |
E44327
|
entity |
| Predicate | honoursAndAwards |
P17372
|
FINISHED |
| Object | multiple battle honours from First and Second World Wars |
—
|
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: multiple battle honours from First and Second World Wars | Statement: [Fort Garry Horse, honoursAndAwards, multiple battle honours from First and Second World Wars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoursAndAwards Context triple: [Fort Garry Horse, honoursAndAwards, multiple battle honours from First and Second World Wars]
-
A.
includesHonoraryAwardsFor
Indicates that one entity contains or lists honorary awards that have been granted to another entity.
-
B.
honoursSystem
Indicates that an entity follows or complies with a particular system of rules, standards, or principles.
-
C.
awardsTitle
Indicates that an entity confers or grants a specific title or honorific designation to another entity.
-
D.
relatedAward
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
E.
awardOrRanking
chosen
Indicates that there is an award, honor, or ranking status conferred on or associated with an entity.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| PD | Predicate disambiguation | batch_69abc594087c819098100a10c5478a4b |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:51 p.m.