Triple
T3763291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Račak massacre |
E82611
|
entity |
| Predicate | occuredDuring |
P3824
|
FINISHED |
| Object | Serbian counter-insurgency operations against KLA |
—
|
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: Serbian counter-insurgency operations against KLA | Statement: [Račak massacre, occuredDuring, Serbian counter-insurgency operations against KLA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occuredDuring Context triple: [Račak massacre, occuredDuring, Serbian counter-insurgency operations against KLA]
-
A.
occurredDuring
chosen
Indicates that one event or action took place within the temporal span of another event or time period.
-
B.
executedDuring
Indicates that an action or event was carried out within the temporal span of another specified event or period.
-
C.
occurredIn
Indicates that an event or action took place within a specific location, context, or time frame.
-
D.
usedDuring
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
-
E.
occursWhen
Indicates that one event or condition happens at the same time or is triggered under the circumstances defined by another event or condition.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfbecf8819099d80af480cbe2d2 |
completed | March 8, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.