Triple
T4416157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Field Marshal (British Army) |
E94978
|
entity |
| Predicate | peacetimeConferment |
P16187
|
FINISHED |
| Object | largely honorary |
—
|
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: largely honorary | Statement: [Field Marshal (British Army), peacetimeConferment, largely honorary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peacetimeConferment Context triple: [Field Marshal (British Army), peacetimeConferment, largely honorary]
-
A.
peacetimeAward
chosen
Indicates that an award or honor is given during a period of peace rather than during wartime or active conflict.
-
B.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
C.
wartimeAward
Indicates that an entity received an award or honor specifically in the context of wartime or military conflict.
-
D.
militaryAwardType
Indicates the specific category or kind of military honor or decoration associated with an award.
-
E.
confersKnighthood
Indicates that one entity formally grants the status or title of knighthood to another 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551afb448190a2ce2000193808ac |
completed | March 13, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.