Triple
T717307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occitanie |
E14341
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Céret
Céret is a historic town in southern France near the Spanish border, renowned for its modern art museum and its association with early 20th-century artists like Picasso and Braque.
|
E88275
|
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: Céret | Statement: [Occitanie, containsCity, Céret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Céret Context triple: [Occitanie, containsCity, Céret]
-
A.
Margat
Margat is a prominent medieval Crusader fortress in Syria that served as a major stronghold of the Knights Hospitaller.
-
B.
Canet-en-Roussillon
Canet-en-Roussillon is a coastal commune and popular Mediterranean seaside resort in southern France’s Pyrénées-Orientales department.
-
C.
Collioure
Collioure is a picturesque coastal town in southern France renowned for its vibrant light and colors that inspired Fauvist painters such as Henri Matisse.
-
D.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
E.
Mougins
Mougins is a picturesque hilltop village in southeastern France, renowned for its art scene, gastronomy, and association with many famous artists.
- 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: Céret Triple: [Occitanie, containsCity, Céret]
Generated description
Céret is a historic town in southern France near the Spanish border, renowned for its modern art museum and its association with early 20th-century artists like Picasso and Braque.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Céret Target entity description: Céret is a historic town in southern France near the Spanish border, renowned for its modern art museum and its association with early 20th-century artists like Picasso and Braque.
-
A.
Margat
Margat is a prominent medieval Crusader fortress in Syria that served as a major stronghold of the Knights Hospitaller.
-
B.
Canet-en-Roussillon
Canet-en-Roussillon is a coastal commune and popular Mediterranean seaside resort in southern France’s Pyrénées-Orientales department.
-
C.
Collioure
Collioure is a picturesque coastal town in southern France renowned for its vibrant light and colors that inspired Fauvist painters such as Henri Matisse.
-
D.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
E.
Mougins
Mougins is a picturesque hilltop village in southeastern France, renowned for its art scene, gastronomy, and association with many famous artists.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a577658881909c12951d63d96377 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a5a7e788190b5ad2505b68ca48d |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64e3c1eac8190a62e4b24b0715dc2 |
completed | March 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64ec899ec8190b8d2916c5965fabc |
completed | March 3, 2026, 3 a.m. |
Created at: March 1, 2026, 7:37 p.m.