Triple
T13842990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prédecelle |
E332711
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Prédecelle
Prédecelle is a French locality, likely a small village or hamlet, whose name is used to designate the place itself.
|
E1131414
|
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: Prédecelle | Statement: [Prédecelle, name, Prédecelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prédecelle Context triple: [Prédecelle, name, Prédecelle]
-
A.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
-
B.
Courcelles
Courcelles is a district in Brussels, Belgium, known for being served by the city's metro system.
-
C.
Casseneuil
Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
-
D.
L’Arbresle
L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
-
E.
Les Breuleux
Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
- 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: Prédecelle Triple: [Prédecelle, name, Prédecelle]
Generated description
Prédecelle is a French locality, likely a small village or hamlet, whose name is used to designate the place itself.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prédecelle Target entity description: Prédecelle is a French locality, likely a small village or hamlet, whose name is used to designate the place itself.
-
A.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
-
B.
Courcelles
Courcelles is a district in Brussels, Belgium, known for being served by the city's metro system.
-
C.
Casseneuil
Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
-
D.
L’Arbresle
L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
-
E.
Les Breuleux
Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe967cea3c81909d9b600501897a41 |
completed | May 9, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69fe978c4e34819096ae7e486a517a66 |
completed | May 9, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe97f01e4881908380b8796d016c25 |
completed | May 9, 2026, 2:12 a.m. |
Created at: April 9, 2026, 10:13 p.m.