Triple
T9481010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zapopan |
E228636
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Tonalá |
E172149
|
NE FINISHED |
How this triple was built (2 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: Tonalá | Statement: [Zapopan, borders, Tonalá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonalá Context triple: [Zapopan, borders, Tonalá]
-
A.
Tonalá
chosen
Tonalá is a municipality and city in the Guadalajara metropolitan area of Jalisco, Mexico, known for its traditional pottery and handicrafts.
-
B.
Toniná
Toniná is an ancient Maya archaeological site in Chiapas, Mexico, known for its towering acropolis, intricate stone carvings, and evidence of powerful Classic-period warfare and politics.
-
C.
Tototlán
Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
-
D.
Tejutla
Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
-
E.
Metztitlán
Metztitlán is a town and municipality in the state of Hidalgo, Mexico, known for its dramatic canyon landscapes, rich biodiversity, and the nearby Metztitlán Biosphere Reserve.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8018645c8190823d82a93635b345 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cfebb6c8190af3296c7bfd8b3e4 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:54 p.m.