Triple

T19031694
Position Surface form Disambiguated ID Type / Status
Subject La Union E465754 entity
Predicate hasMunicipality P847 FINISHED
Object Caba E953884 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: Caba | Statement: [La Union, hasMunicipality, Caba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caba
Context triple: [La Union, hasMunicipality, Caba]
  • A. Caba chosen
    Caba is a coastal municipality in the province of La Union in the Philippines, known for its beaches and role as a local agricultural and fishing community.
  • B. Berisso
    Berisso is an industrial and port city in Buenos Aires Province, Argentina, known for its immigrant heritage and role within the Greater La Plata metropolitan area.
  • C. Ciudad Delgado
    Ciudad Delgado is an urban municipality in El Salvador that forms part of the metropolitan area of San Salvador.
  • D. Alvear
    Alvear is a town in the Rosario Department of Santa Fe Province, Argentina, functioning as part of the greater Rosario metropolitan area.
  • E. Villa del Dique
    Villa del Dique is a lakeside tourist village in Córdoba Province, Argentina, known for its water sports, scenic mountain surroundings, and proximity to the Embalse Río Tercero reservoir.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7410dd08190b08a7c0a2b8d67f3 completed April 20, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be59f0088190ae133c2d12beb2c0 completed May 14, 2026, 12:21 p.m.
Created at: April 10, 2026, 12:02 p.m.