Triple
T13647402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tecomán Municipality |
E326139
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Tecomán |
E1065133
|
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: Tecomán | Statement: [Tecomán Municipality, hasMunicipalSeat, Tecomán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tecomán Context triple: [Tecomán Municipality, hasMunicipalSeat, Tecomán]
-
A.
Tecomán
chosen
Tecomán is a city in the Mexican state of Colima known for its agricultural production, particularly limes, and its proximity to Pacific coast beaches.
-
B.
Guasave
Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
-
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.
Tuxpan
Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
-
E.
Tepatitlán de Morelos
Tepatitlán de Morelos is a prominent city in Mexico known for its agricultural production, religious traditions, and vibrant regional culture.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6073e888190965456a639839749 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce6254e88190b6b4541fa22dc508 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 9:52 p.m.