Triple
T7984319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Changping |
E185651
|
entity |
| Predicate | estimatedZhaoPrisonersKilled |
P14018
|
FINISHED |
| Object | over 400,000 (traditional accounts) |
—
|
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 400,000 (traditional accounts) | Statement: [Battle of Changping, estimatedZhaoPrisonersKilled, over 400,000 (traditional accounts)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedZhaoPrisonersKilled Context triple: [Battle of Changping, estimatedZhaoPrisonersKilled, over 400,000 (traditional accounts)]
-
A.
estimatedPrisoners
Indicates a relationship where a value represents the estimated number of prisoners associated with a particular entity or context.
-
B.
estimatedPrisonerCount
chosen
Indicates the estimated number of prisoners associated with a particular context, such as a location, time period, or event.
-
C.
numberOfTortureVictims
Indicates the quantity of individuals who have been subjected to torture.
-
D.
numberOfVictimsKilled
Indicates the count of victims who were killed as a result of the referenced event or action.
-
E.
numberOfPrisonersKilledDuringSeptemberMassacres
Indicates the count of prisoners who were killed during the September Massacres.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c2b543c81909b82bc478d579e0b |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.