Triple
T6878684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sombrerete |
E158735
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object |
Sombrerete (town)
Sombrerete (town) is a historic colonial mining town in the state of Zacatecas, Mexico, known for its well-preserved architecture and cultural heritage.
|
E625499
|
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: Sombrerete (town) | Statement: [Sombrerete, hasMunicipalSeat, Sombrerete (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sombrerete (town) Context triple: [Sombrerete, hasMunicipalSeat, Sombrerete (town)]
-
A.
Fonsomme
Fonsomme is a commune in northern France notable as the place where the Somme River originates.
-
B.
Garganvillar
Garganvillar is a small commune in the Tarn-et-Garonne department in southern France.
-
C.
Serenno
Serenno is a wealthy, aristocratic planet in the Star Wars universe, known as the ancestral seat of Count Dooku and a center of noble power and influence.
-
D.
Sampués
Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
-
E.
Torrinch
Torrinch is a small, wooded island located in Scotland’s Loch Lomond, known for its natural beauty and wildlife.
- 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: Sombrerete (town) Triple: [Sombrerete, hasMunicipalSeat, Sombrerete (town)]
Generated description
Sombrerete (town) is a historic colonial mining town in the state of Zacatecas, Mexico, known for its well-preserved architecture and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sombrerete (town) Target entity description: Sombrerete (town) is a historic colonial mining town in the state of Zacatecas, Mexico, known for its well-preserved architecture and cultural heritage.
-
A.
Fonsomme
Fonsomme is a commune in northern France notable as the place where the Somme River originates.
-
B.
Garganvillar
Garganvillar is a small commune in the Tarn-et-Garonne department in southern France.
-
C.
Serenno
Serenno is a wealthy, aristocratic planet in the Star Wars universe, known as the ancestral seat of Count Dooku and a center of noble power and influence.
-
D.
Sampués
Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
-
E.
Torrinch
Torrinch is a small, wooded island located in Scotland’s Loch Lomond, known for its natural beauty and wildlife.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e498bc81908b2fbe0c6a8b95b7 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742c2b81881909bd13df0d6028cc6 |
completed | March 28, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69c743d4b12081909f142efacca0bedb |
completed | March 28, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7445fbd488190938ec3dd59cbeb2c |
completed | March 28, 2026, 3 a.m. |
Created at: March 27, 2026, 2:22 p.m.