Triple
T717279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occitanie |
E14341
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Foix
Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
|
E92446
|
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: Foix | Statement: [Occitanie, containsCity, Foix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foix Context triple: [Occitanie, containsCity, Foix]
-
A.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
-
B.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
C.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
D.
Marmande
Marmande is a town in southwestern France known for its agricultural production, particularly tomatoes, and its location in the Garonne River valley.
-
E.
Anjou
Anjou is a historic region in western France that was once a powerful medieval county and later a duchy, playing a central role in the Angevin Empire and European dynastic politics.
- 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: Foix Triple: [Occitanie, containsCity, Foix]
Generated description
Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Foix Target entity description: Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
-
A.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
-
B.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
C.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
D.
Marmande
Marmande is a town in southwestern France known for its agricultural production, particularly tomatoes, and its location in the Garonne River valley.
-
E.
Anjou
Anjou is a historic region in western France that was once a powerful medieval county and later a duchy, playing a central role in the Angevin Empire and European dynastic politics.
- 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_69a66d936bbc81908708ee5d0fc82100 |
completed | March 3, 2026, 5:11 a.m. |
| NEDg | Description generation | batch_69a66e0cec4c8190a2c5b0e46d409686 |
completed | March 3, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a671cc69308190b711849a537e4a99 |
completed | March 3, 2026, 5:29 a.m. |
Created at: March 1, 2026, 7:37 p.m.