Triple

T4536728
Position Surface form Disambiguated ID Type / Status
Subject Makati E107424 entity
Predicate hasDistrict P459 FINISHED
Object Magallanes E363939 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: Magallanes | Statement: [Makati, hasDistrict, Magallanes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magallanes
Context triple: [Makati, hasDistrict, Magallanes]
  • A. Magallanes
    Magallanes is a Chilean professional football club known for its historic role in the early development of Chilean soccer.
  • B. Magallanes chosen
    Magallanes is a landlocked agricultural municipality in the province of Cavite in the Philippines, known for its rural character and historical roots.
  • C. Vespucio Sur
    Vespucio Sur is a major urban highway in Santiago, Chile, forming part of the city’s beltway system and facilitating high-capacity traffic flow around the southern sector of the capital.
  • D. Juan Fernández
    Juan Fernández was a 16th-century Spanish navigator and explorer known for discovering and giving his name to the Juan Fernández Islands off the coast of Chile.
  • E. Valdivia
    Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57b78b8481909d79131723d4be22 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacf5858081909d38cad86d4014f2 completed March 20, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:04 p.m.