Triple
T8107253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opéra-Comique |
E189257
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Place Boieldieu
Place Boieldieu is a small Parisian square in the 2nd arrondissement best known for hosting the historic Opéra-Comique theatre.
|
E712580
|
NE FINISHED |
How this triple was built (4 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: Place Boieldieu | Statement: [Opéra-Comique, locatedIn, Place Boieldieu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Place Boieldieu Context triple: [Opéra-Comique, locatedIn, Place Boieldieu]
-
A.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
B.
Ducos
Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
-
C.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
D.
Bourg-de-Péage
Bourg-de-Péage is a commune in southeastern France’s Drôme department, known for its location near the city of Romans-sur-Isère and its role within the Valence-Romans urban area.
-
E.
Saint-Placide
Saint-Placide is a Paris Métro station located in the 6th arrondissement, serving the Saint-Germain-des-Prés area near the Saint-Sulpice church and surrounding shopping streets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Place Boieldieu Triple: [Opéra-Comique, locatedIn, Place Boieldieu]
Generated description
Place Boieldieu is a small Parisian square in the 2nd arrondissement best known for hosting the historic Opéra-Comique theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Place Boieldieu Target entity description: Place Boieldieu is a small Parisian square in the 2nd arrondissement best known for hosting the historic Opéra-Comique theatre.
-
A.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
B.
Ducos
Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
-
C.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
D.
Bourg-de-Péage
Bourg-de-Péage is a commune in southeastern France’s Drôme department, known for its location near the city of Romans-sur-Isère and its role within the Valence-Romans urban area.
-
E.
Saint-Placide
Saint-Placide is a Paris Métro station located in the 6th arrondissement, serving the Saint-Germain-des-Prés area near the Saint-Sulpice church and surrounding shopping streets.
- F. None of above. chosen
Provenance (5 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42f89dd481908f1a25e4b16a8fc8 |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc94198fdc8190bcf3c6285e52fdd3 |
completed | April 1, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69cc95bfb2b08190ae4bbf8fdde3165d |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc9771b6e48190bd5f45c3f8853890 |
completed | April 1, 2026, 3:56 a.m. |
Created at: March 30, 2026, 5:32 p.m.