Triple
T18620678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Droppin Well bar |
E455138
|
entity |
| Predicate | hasCasualtiesInAttack |
P52637
|
FINISHED |
| Object | 11 British soldiers killed |
—
|
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: 11 British soldiers killed | Statement: [Droppin Well bar, hasCasualtiesInAttack, 11 British soldiers killed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCasualtiesInAttack Context triple: [Droppin Well bar, hasCasualtiesInAttack, 11 British soldiers killed]
-
A.
hasCasualtiesLevel
Indicates the severity or extent of casualties associated with an event, incident, or situation.
-
B.
sustainedHeavyCasualtiesAt
Indicates that an entity experienced a large number of serious losses (e.g., deaths or injuries) at a specific location or during a specific event.
-
C.
casualtiesInflictedOn
chosen
Indicates that one party has caused deaths or injuries to another party as a result of a harmful event or action.
-
D.
nativeCasualties
Indicates that native or indigenous people suffered deaths or injuries as a result of a particular event, action, or conflict.
-
E.
casualtiesIncluded
Indicates that the referenced count or report of casualties explicitly includes the specified individuals or groups.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f00889c8190931f8d3fbabd531b |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.