Triple
T6554526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazamet |
E152410
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Mazamétain
Mazamétain is the French demonym for inhabitants of the town of Mazamet in southern France.
|
E604697
|
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: Mazamétain | Statement: [Mazamet, hasDemonym, Mazamétain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazamétain Context triple: [Mazamet, hasDemonym, Mazamétain]
-
A.
Matapouri
Matapouri is a small coastal settlement in New Zealand known for its scenic beach, sheltered bay, and nearby natural attractions such as Mermaid Pools.
-
B.
Plateau des Mille Étangs
Plateau des Mille Étangs is a marshy upland region in northeastern France known for its thousands of small glacial ponds, diverse wetlands, and rich biodiversity.
-
C.
Quesnel
Quesnel is a small city in central British Columbia, Canada, known historically as a Cariboo Gold Rush hub and a regional center for the forestry industry.
-
D.
Pointe Croux
Pointe Croux is a subsidiary summit of the Aiguille Verte in the Mont Blanc massif of the French Alps, known primarily to alpinists and climbers.
-
E.
Butte du Lion
Butte du Lion is a large conical memorial mound in Waterloo, Belgium, topped by a cast-iron lion statue commemorating the Battle of Waterloo.
- 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: Mazamétain Triple: [Mazamet, hasDemonym, Mazamétain]
Generated description
Mazamétain is the French demonym for inhabitants of the town of Mazamet in southern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mazamétain Target entity description: Mazamétain is the French demonym for inhabitants of the town of Mazamet in southern France.
-
A.
Matapouri
Matapouri is a small coastal settlement in New Zealand known for its scenic beach, sheltered bay, and nearby natural attractions such as Mermaid Pools.
-
B.
Plateau des Mille Étangs
Plateau des Mille Étangs is a marshy upland region in northeastern France known for its thousands of small glacial ponds, diverse wetlands, and rich biodiversity.
-
C.
Quesnel
Quesnel is a small city in central British Columbia, Canada, known historically as a Cariboo Gold Rush hub and a regional center for the forestry industry.
-
D.
Pointe Croux
Pointe Croux is a subsidiary summit of the Aiguille Verte in the Mont Blanc massif of the French Alps, known primarily to alpinists and climbers.
-
E.
Butte du Lion
Butte du Lion is a large conical memorial mound in Waterloo, Belgium, topped by a cast-iron lion statue commemorating the Battle of Waterloo.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1c07cc819089c297edad943a57 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55707d081908104f08e1d59d603 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d67574cc8190acf20c1a598c32ee |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d84076d48190ada0903af49613de |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:51 p.m.