Triple

T2401974
Position Surface form Disambiguated ID Type / Status
Subject Intramuros E47789 entity
Predicate locatedIn P40 FINISHED
Object Luzon E17124 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: Luzon | Statement: [Intramuros, locatedIn, Luzon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luzon
Context triple: [Intramuros, locatedIn, Luzon]
  • A. Luzon chosen
    Luzon is the largest and most populous island in the Philippines, home to the nation’s capital, Manila, and its main political and economic centers.
  • B. Visayas
    Visayas is a central group of islands in the Philippines known for its rich cultural heritage, vibrant festivals, and popular beach and diving destinations.
  • C. Mindanao
    Mindanao is the second-largest and southernmost major island of the Philippines, known for its diverse cultures, rich natural resources, and significant agricultural and economic role in the country.
  • D. Pomorye
    Pomorye is a historical coastal region of northern Russia along the White Sea, traditionally inhabited by the Pomors and known for maritime trade and exploration.
  • E. Zamboanga Peninsula
    Zamboanga Peninsula is a region in western Mindanao in the southern Philippines known for its cultural diversity, coastal cities, and mix of languages including Cebuano and Chavacano.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8f623908190875fdbc95c944f33 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc01d9b40819089e6a59164e64949 completed March 10, 2026, 6:54 a.m.
Created at: March 4, 2026, 7:57 p.m.