Triple
T12675861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarn |
E302809
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Carmaux
Carmaux is a small industrial town in southern France known historically for its coal mining and glassmaking industries.
|
E1022894
|
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: Carmaux | Statement: [Tarn, contains, Carmaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmaux Context triple: [Tarn, contains, Carmaux]
-
A.
Montélimar
Montélimar is a town in southeastern France, known as the "gateway to Provence" and famous for its traditional nougat confectionery.
-
B.
Colomiers
Colomiers is a suburban city in southwestern France, known as part of the Toulouse metropolitan area and for its strong aerospace and industrial sectors.
-
C.
Mirecourt
Mirecourt is a small town in northeastern France renowned for its centuries-old tradition of violin and stringed instrument making.
-
D.
Lodève
Lodève is a historic town in southern France’s Hérault department, known for its medieval architecture, textile heritage, and scenic setting near the Lac du Salagou.
-
E.
Épinal
Épinal is a historic town in northeastern France, known for its traditional image-printing industry and picturesque setting in the Vosges region.
- 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: Carmaux Triple: [Tarn, contains, Carmaux]
Generated description
Carmaux is a small industrial town in southern France known historically for its coal mining and glassmaking industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carmaux Target entity description: Carmaux is a small industrial town in southern France known historically for its coal mining and glassmaking industries.
-
A.
Montélimar
Montélimar is a town in southeastern France, known as the "gateway to Provence" and famous for its traditional nougat confectionery.
-
B.
Colomiers
Colomiers is a suburban city in southwestern France, known as part of the Toulouse metropolitan area and for its strong aerospace and industrial sectors.
-
C.
Mirecourt
Mirecourt is a small town in northeastern France renowned for its centuries-old tradition of violin and stringed instrument making.
-
D.
Lodève
Lodève is a historic town in southern France’s Hérault department, known for its medieval architecture, textile heritage, and scenic setting near the Lac du Salagou.
-
E.
Épinal
Épinal is a historic town in northeastern France, known for its traditional image-printing industry and picturesque setting in the Vosges region.
- 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_69f6e25d24e481908253e1af630835f1 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e4c5e2888190b0bfcdf2cc25ad5f |
completed | May 3, 2026, 6:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e5979df881909db42a735b9b1064 |
completed | May 3, 2026, 6:05 a.m. |
Created at: April 9, 2026, 5:20 p.m.