Triple
T17550945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château d’Étoges |
E427460
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Étoges
Étoges is a small commune in northeastern France, known for its historic château and its location in the Champagne wine-producing region.
|
E1274967
|
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: Étoges | Statement: [Château d’Étoges, locatedIn, Étoges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Étoges Context triple: [Château d’Étoges, locatedIn, Étoges]
-
A.
Athois
Athois is the French demonym for an inhabitant of the town of Ath in Belgium.
-
B.
La Tieule
La Tieule is a small commune in the Lozère department of southern France, situated within the arrondissement of Mende.
-
C.
Butre
Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
-
D.
Cesqeaux
Cesqeaux is a Dutch DJ and electronic music producer known for his energetic trap and bass-heavy festival tracks.
-
E.
Angoumoisin
Angoumoisin is the French term for an inhabitant or native of the city of Angoulême in southwestern France.
- 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: Étoges Triple: [Château d’Étoges, locatedIn, Étoges]
Generated description
Étoges is a small commune in northeastern France, known for its historic château and its location in the Champagne wine-producing region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Étoges Target entity description: Étoges is a small commune in northeastern France, known for its historic château and its location in the Champagne wine-producing region.
-
A.
Athois
Athois is the French demonym for an inhabitant of the town of Ath in Belgium.
-
B.
La Tieule
La Tieule is a small commune in the Lozère department of southern France, situated within the arrondissement of Mende.
-
C.
Butre
Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
-
D.
Cesqeaux
Cesqeaux is a Dutch DJ and electronic music producer known for his energetic trap and bass-heavy festival tracks.
-
E.
Angoumoisin
Angoumoisin is the French term for an inhabitant or native of the city of Angoulême in southwestern France.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454656dc08190bba85b93bd07b0a2 |
completed | April 19, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d290edbc8190a7b2cb0835456890 |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d597c96c8190a5eca56a748da50c |
completed | May 11, 2026, 1:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d639c220819088dd3389d1ab60ca |
completed | May 11, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:50 a.m.