Triple
T10594470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choeung Ek Genocide Center |
E250073
|
entity |
| Predicate | victimEstimatesDisplayed |
P74879
|
FINISHED |
| Object | over 17000 people |
—
|
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: over 17000 people | Statement: [Choeung Ek Genocide Center, victimEstimatesDisplayed, over 17000 people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimEstimatesDisplayed Context triple: [Choeung Ek Genocide Center, victimEstimatesDisplayed, over 17000 people]
-
A.
numberOfVictimsClaimed
chosen
Indicates the reported count of victims associated with a particular event, incident, or action.
-
B.
mainVictims
Indicates that the related entities are the primary or principal targets harmed or affected by an action, event, or perpetrator.
-
C.
numberOfSuspectedVictims
Indicates the count of individuals believed or alleged to be victims in a particular incident, case, or context.
-
D.
estimatedVictimsUpperBound
Indicates the maximum estimated number of victims associated with an event, incident, or situation.
-
E.
estimatedVictimsLowerBound
Indicates the minimum estimated number of victims associated with an event, entity, or incident.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5278bacd88190a50dedfa59b622fc |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d5190a6dfc819088262957551808a1 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:41 p.m.