Triple
T11066985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commune of Drancy |
E261649
|
entity |
| Predicate | historicalUseOfCitéDeLaMuette |
P97612
|
FINISHED |
| Object | site of Drancy internment camp during World War II |
—
|
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: site of Drancy internment camp during World War II | Statement: [Commune of Drancy, historicalUseOfCitéDeLaMuette, site of Drancy internment camp during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalUseOfCitéDeLaMuette Context triple: [Commune of Drancy, historicalUseOfCitéDeLaMuette, site of Drancy internment camp during World War II]
-
A.
hasMuseumAtFormerHQ
Indicates that a museum is located at the site of a former headquarters of an entity.
-
B.
museumCity
Indicates the city in which a given museum is located.
-
C.
yearMovedToParis
Indicates the year in which an entity moved to Paris.
-
D.
wasFrenchCapitalUntil
Indicates that a place served as the capital of France up to, but not beyond, a specified time.
-
E.
usedAsCityHallUntil
Indicates that a building or location functioned as the city hall up to a specified end date or time period.
- F. None of above. chosen
Provenance (4 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79920428c81908db824ab54e08e8d |
completed | April 9, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.