Triple
T2201511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talavera pottery |
E50498
|
entity |
| Predicate | producedInCity |
P3992
|
FINISHED |
| Object |
Tecali
Tecali is a Mexican town renowned for its traditional crafts, particularly the production of Talavera pottery and stonework.
|
E264081
|
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: Tecali | Statement: [Talavera pottery, producedInCity, Tecali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tecali Context triple: [Talavera pottery, producedInCity, Tecali]
-
A.
Tacuba
Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
-
B.
Tuxpan
Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
-
C.
Tuxpan
Tuxpan is a port city in the Mexican state of Veracruz, known for its Gulf Coast location and historical role as a departure point in the Cuban Revolution.
-
D.
Tututepec
Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
-
E.
Cobá
Cobá is an ancient Maya city in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and towering pyramid structures amid dense jungle.
- 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: Tecali Triple: [Talavera pottery, producedInCity, Tecali]
Generated description
Tecali is a Mexican town renowned for its traditional crafts, particularly the production of Talavera pottery and stonework.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tecali Target entity description: Tecali is a Mexican town renowned for its traditional crafts, particularly the production of Talavera pottery and stonework.
-
A.
Tacuba
Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
-
B.
Tuxpan
Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
-
C.
Tuxpan
Tuxpan is a port city in the Mexican state of Veracruz, known for its Gulf Coast location and historical role as a departure point in the Cuban Revolution.
-
D.
Tututepec
Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
-
E.
Cobá
Cobá is an ancient Maya city in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and towering pyramid structures amid dense jungle.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc5b101d48190a321625720d537b6 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3b515c081909d6ad7f0506ea5a8 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb77bd16c81908696c3c3244c2358 |
completed | March 9, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb7d22ff48190b22ab9a1411f5caf |
completed | March 9, 2026, 12:06 p.m. |
Created at: March 4, 2026, 7:46 p.m.