Triple
T16917488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Howards |
E410355
|
entity |
| Predicate | awardedVictoriaCrossesTo |
P78512
|
FINISHED |
| Object | multiple soldiers in various conflicts |
—
|
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 soldiers in various conflicts | Statement: [Green Howards, awardedVictoriaCrossesTo, multiple soldiers in various conflicts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedVictoriaCrossesTo Context triple: [Green Howards, awardedVictoriaCrossesTo, multiple soldiers in various conflicts]
-
A.
hasVictoriaCrossRecipient
chosen
Indicates that an entity has, is associated with, or includes at least one recipient of the Victoria Cross.
-
B.
GeorgeCrossAwardedBy
Indicates that a George Cross decoration was conferred by a specific awarding authority or body.
-
C.
wasKnightedFor
Indicates that an individual received a knighthood specifically in recognition of a particular action, achievement, service, or reason.
-
D.
isGallantryAward
Indicates that the subject is a formal gallantry award, i.e., an honor conferred in recognition of exceptional bravery or valor.
-
E.
wasKnightedAt
Indicates that a knighthood was formally conferred upon someone at a specific place or event.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdeb74c08190b6f247cdf4b21405 |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.