Triple
T33933519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle for Hill 70 |
E869966
|
entity |
| Predicate | VictoriaCrossesAwarded |
P147568
|
FINISHED |
| Object | at least 6 |
—
|
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: at least 6 | Statement: [Battle for Hill 70, VictoriaCrossesAwarded, at least 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VictoriaCrossesAwarded Context triple: [Battle for Hill 70, VictoriaCrossesAwarded, at least 6]
-
A.
numberOfVictoriaCrossesAwarded
chosen
Indicates the total count of Victoria Cross medals that have been awarded in the specified context.
-
B.
hasVictoriaCrossRecipient
Indicates that an entity has, is associated with, or includes at least one recipient of the Victoria Cross.
-
C.
GeorgeCrossAwardedBy
Indicates that a George Cross decoration was conferred by a specific awarding authority or body.
-
D.
wartimeAward
Indicates that an entity received an award or honor specifically in the context of wartime or military conflict.
-
E.
isHighestPeacetimeGallantryAwardOf
Indicates that one award is the supreme or most prestigious gallantry decoration conferred during peacetime within the context of a given country, organization, or system.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.