Triple

T590306
Position Surface form Disambiguated ID Type / Status
Subject Corregidor E17250 entity
Predicate near P350 FINISHED
Object City of Manila E7896 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: City of Manila | Statement: [Corregidor, near, City of Manila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Manila
Context triple: [Corregidor, near, City of Manila]
  • A. Manila chosen
    Manila is the capital city of the Philippines, a historic and densely populated coastal metropolis that has long served as the country’s political, economic, and cultural center.
  • B. Metro Manila
    Metro Manila is the densely populated national capital region of the Philippines, encompassing Manila and several surrounding cities as the country’s political, economic, and cultural center.
  • C. Quezon City
    Quezon City is a major urban center in Metro Manila known for hosting many national government institutions, universities, and media networks in the Philippines.
  • D. Cebu
    Cebu is a major island and province in the central Philippines known for its historic role in Spanish colonization, vibrant urban center Cebu City, and popular beach and dive tourism.
  • E. Mandaluyong, Metro Manila, Philippines
    Mandaluyong, in Metro Manila, Philippines, is a highly urbanized city known as a major commercial and business hub that hosts the headquarters of the Asian Development Bank.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bb8ff0081909cd53d88930e2693 completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c44ef0819088048289ed31246f completed March 2, 2026, 4:57 a.m.
Created at: March 1, 2026, 7:33 p.m.