Triple
T7751552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Stephen’s College massacre |
E175773
|
entity |
| Predicate | combatantSideOfVictims |
P58514
|
FINISHED |
| Object | Allied forces |
—
|
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: Allied forces | Statement: [St. Stephen’s College massacre, combatantSideOfVictims, Allied forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatantSideOfVictims Context triple: [St. Stephen’s College massacre, combatantSideOfVictims, Allied forces]
-
A.
belligerentSideOfVictims
chosen
Indicates that the referenced party is the side or faction to which the victims in a conflict or hostile situation belong.
-
B.
combatantsNationality
Indicates that the entities involved in a combat or conflict share or are associated with a specified nationality.
-
C.
conflictSide
Indicates that an entity participates as a distinct party or faction on one side of a conflict or dispute.
-
D.
numberOfVictimsKilled
Indicates the count of victims who were killed as a result of the referenced event or action.
-
E.
mainVictims
Indicates that the related entities are the primary or principal targets harmed or affected by an action, event, or perpetrator.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:08 p.m.