Triple
T31346452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mai Kadra massacre |
E799458
|
entity |
| Predicate | timeInRelationToWar |
P159615
|
FINISHED |
| Object | early November 2020 |
—
|
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: early November 2020 | Statement: [Mai Kadra massacre, timeInRelationToWar, early November 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInRelationToWar Context triple: [Mai Kadra massacre, timeInRelationToWar, early November 2020]
-
A.
timeSinceStartOfWar
Indicates the amount of time that has elapsed since the war began.
-
B.
timeRelativeToWar
chosen
Indicates the temporal relationship of an event or state with respect to a specific war (e.g., before, during, or after the war).
-
C.
statusDuringWar
Indicates the role, condition, or classification an entity held specifically during a period of war.
-
D.
stateDuringWar
Indicates that a state or condition exists specifically in the context of, or for the duration of, a war or armed conflict.
-
E.
timeSpanOfWarCommemorated
Indicates the specific duration or period of a war that is being commemorated.
- 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 9:17 p.m.