Triple
T22865677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaumont, France |
E567046
|
entity |
| Predicate | timePeriodOfAefHeadquarters |
P302
|
FINISHED |
| Object | 1917–1919 |
—
|
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: 1917–1919 | Statement: [Chaumont, France, timePeriodOfAefHeadquarters, 1917–1919]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfAefHeadquarters Context triple: [Chaumont, France, timePeriodOfAefHeadquarters, 1917–1919]
-
A.
timePeriodAsMainHeadquartersStart
Indicates the point in time when a location first became the main headquarters for an entity.
-
B.
headquartersPeriodEnd
Indicates the point in time when an entity’s role as a headquarters at a given location comes to an end.
-
C.
headquartersLocationTime
Indicates the location where an entity’s headquarters is situated during a specified time period.
-
D.
headquartersCompletionYear
Indicates the year in which an organization's headquarters building was completed.
-
E.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f00f21081909b771610549c5757 |
completed | April 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:38 p.m.