Triple
T12675864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarn |
E302809
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Cordes-sur-Ciel
Cordes-sur-Ciel is a picturesque medieval hilltop village in southern France renowned for its well-preserved Gothic architecture and dramatic views over the surrounding countryside.
|
E997549
|
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: Cordes-sur-Ciel | Statement: [Tarn, contains, Cordes-sur-Ciel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cordes-sur-Ciel Context triple: [Tarn, contains, Cordes-sur-Ciel]
-
A.
Cernières
Cernières is a small locality situated within the canton of Breteuil in northern France.
-
B.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
C.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
D.
Cuiseaux
Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
-
E.
Cigales
Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
- 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: Cordes-sur-Ciel Triple: [Tarn, contains, Cordes-sur-Ciel]
Generated description
Cordes-sur-Ciel is a picturesque medieval hilltop village in southern France renowned for its well-preserved Gothic architecture and dramatic views over the surrounding countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cordes-sur-Ciel Target entity description: Cordes-sur-Ciel is a picturesque medieval hilltop village in southern France renowned for its well-preserved Gothic architecture and dramatic views over the surrounding countryside.
-
A.
Cernières
Cernières is a small locality situated within the canton of Breteuil in northern France.
-
B.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
C.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
D.
Cuiseaux
Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
-
E.
Cigales
Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a163188190b6077c77f9a81681 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f672d16f8881908c6d5cfed0b3ec3a |
completed | May 2, 2026, 9:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67396fdac8190970068b2c39ad2f7 |
completed | May 2, 2026, 9:58 p.m. |
Created at: April 9, 2026, 5:20 p.m.