Triple
T10688046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis d'Orléans |
E251931
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Val-de-Grâce |
E169772
|
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: Val-de-Grâce | Statement: [Louis d'Orléans, burialPlace, Val-de-Grâce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val-de-Grâce Context triple: [Louis d'Orléans, burialPlace, Val-de-Grâce]
-
A.
Val-de-Grâce, Paris
chosen
Val-de-Grâce, Paris is a historic 17th-century church and former royal abbey in Paris, renowned for its Baroque architecture and association with the French monarchy.
-
B.
Versailles-Rive-Gauche
Versailles-Rive-Gauche is the former name of the main RER suburban railway station serving the Palace of Versailles and its surrounding area in Versailles, France.
-
C.
Beaugrenelle
Beaugrenelle is a modern riverside district in Paris known for its high-rise architecture, shopping center, and contemporary urban design along the Seine.
-
D.
Bois de Boulogne
Bois de Boulogne is a large public park on the western edge of Paris, France, known for its extensive woodlands, lakes, and recreational facilities.
-
E.
Clignancourt
Clignancourt is a northern Paris neighborhood known for its proximity to Montmartre and its famous flea market at Saint-Ouen.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd19f0f481909eeaa75d17d9c060 |
completed | April 9, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbad00f7c8819097566994307c4550 |
completed | April 12, 2026, 2:32 p.m. |
Created at: April 8, 2026, 9:11 p.m.