Triple
T11348307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôpital Debré |
E268776
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Hôpital Debré (hospital) |
E267874
|
NE 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: Hôpital Debré (hospital) | Statement: [Hôpital Debré, serves, Hôpital Debré (hospital)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hôpital Debré (hospital) Context triple: [Hôpital Debré, serves, Hôpital Debré (hospital)]
-
A.
Hôpital Debré
chosen
Hôpital Debré is a major hospital facility in Reims, France, serving as an important local healthcare center.
-
B.
Hôpital Debré stop
Hôpital Debré stop is a tramway station on the Reims tram network in Reims, France, serving the area around the Debré Hospital.
-
C.
Hôpital Robert-Debré, Paris
Hôpital Robert-Debré, Paris is a major pediatric teaching hospital in Paris, France, renowned for its specialized care for children and its role in medical research and education.
-
D.
Hôpital Bégin
Hôpital Bégin is a French military hospital located just outside Paris that provides medical care to both armed forces personnel and civilians.
-
E.
Hôpital Cochin (partly)
Hôpital Cochin is a major Parisian teaching hospital and research center renowned for its medical services and affiliation with the Université Paris Cité.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea214bb88190bb66f7fd3ef73081 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5438d7b58819093cc1407fefe8ab5 |
completed | April 19, 2026, 9:05 p.m. |
Created at: April 8, 2026, 9:33 p.m.