Triple
T16469344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Paz Department |
E400018
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Zacatecoluca |
E1255132
|
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: Zacatecoluca | Statement: [La Paz Department, hasMunicipality, Zacatecoluca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zacatecoluca Context triple: [La Paz Department, hasMunicipality, Zacatecoluca]
-
A.
Zacatecoluca
chosen
Zacatecoluca is a city in El Salvador that serves as an important regional center known for its colonial heritage and agricultural economy.
-
B.
Coatzintla
Coatzintla is a municipality in the northern part of the Mexican state of Veracruz, known for its proximity to the city of Poza Rica and its role in the region’s oil-producing economy.
-
C.
Zacatlán
Zacatlán is a historic town in the Mexican state of Puebla, renowned for its apple production, cider, and scenic mountain landscapes.
-
D.
Tlatlauquitepec
Tlatlauquitepec is a picturesque town and municipality in the Sierra Norte region of Puebla, Mexico, known for its mountainous landscapes, colonial architecture, and ecotourism activities.
-
E.
Zapotitlán
Zapotitlán is a metro station in Mexico City that serves passengers on Line 12 of the city’s rapid transit system.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcfed6c8190b8dbe4b65b0ab817 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673979608190905afae3071413c0 |
completed | May 11, 2026, 5:20 a.m. |
Created at: April 10, 2026, 5:11 a.m.