Triple
T10573434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ixtapa-Zihuatanejo |
E249550
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Zihuatanejo |
E252608
|
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: Zihuatanejo | Statement: [Ixtapa-Zihuatanejo, hasPart, Zihuatanejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zihuatanejo Context triple: [Ixtapa-Zihuatanejo, hasPart, Zihuatanejo]
-
A.
Zihuatanejo
chosen
Zihuatanejo is a coastal resort city on Mexico’s Pacific Ocean, known for its beaches, fishing, and laid-back atmosphere.
-
B.
Tlachihualtepetl
Tlachihualtepetl is an ancient Mesoamerican pyramid in Cholula, Mexico, notable for being one of the largest pyramidal structures in the world by volume.
-
C.
Nevado de Toluca
Nevado de Toluca is a large extinct stratovolcano in central Mexico known for its high-altitude crater lakes and status as one of the country’s most prominent peaks.
-
D.
Orizaba
Orizaba is a city in the Mexican state of Veracruz, known for its colonial architecture, mountainous surroundings, and proximity to the country’s highest peak, Pico de Orizaba.
-
E.
Tacaná
Tacaná is a municipality in western Guatemala, located near the Mexican border and known for its proximity to the Tacaná volcano.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274929cc81909a79d5e2049f7389 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacc05334819081e994d75b5e9318 |
completed | April 12, 2026, 2:31 p.m. |
Created at: April 6, 2026, 12:37 p.m.