Triple
T14792657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumières-le-Mort-Homme |
E347693
|
entity |
| Predicate | populationAfterWar |
P84294
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Cumières-le-Mort-Homme, populationAfterWar, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationAfterWar Context triple: [Cumières-le-Mort-Homme, populationAfterWar, 0]
-
A.
populationAfterSiege
Indicates the number of people remaining in a place after a siege has concluded.
-
B.
populationAfterDestruction
chosen
Indicates the size or composition of a population following an event of destruction or devastation.
-
C.
statusAfterWWII
Indicates the condition, role, or classification an entity had following the end of World War II.
-
D.
postwarOutcome
Indicates the result or consequences that follow for a party or situation after a war has ended.
-
E.
populationLoss
Indicates a decrease in the number of individuals within a defined population over a given period or due to specific causes.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5ec43c8190ad7a10a556519bb0 |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.