Triple

T13367430
Position Surface form Disambiguated ID Type / Status
Subject Tampico Municipality E318974 entity
Predicate borderedBy P224 FINISHED
Object Altamira Municipality E318975 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: Altamira Municipality | Statement: [Tampico Municipality, borderedBy, Altamira Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altamira Municipality
Context triple: [Tampico Municipality, borderedBy, Altamira Municipality]
  • A. Altamira, Tamaulipas chosen
    Altamira, Tamaulipas is an industrial and port city in northeastern Mexico, known for its petrochemical complexes and its role within the greater Tampico metropolitan area.
  • B. Cajidiocan
    Cajidiocan is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
  • C. Altamira
    Altamira is an industrial and port city in the Mexican state of Tamaulipas, known for its petrochemical complexes and strategic location on the Gulf of Mexico.
  • D. Ciudad Camargo
    Ciudad Camargo is a city in the Mexican state of Chihuahua known as an agricultural and commercial center situated near the confluence of the Río Conchos and Río Grande.
  • E. Capoocan
    Capoocan is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72680df088190b8dbcc8ad0d7366e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:32 p.m.