Triple

T12112486
Position Surface form Disambiguated ID Type / Status
Subject PNR Metro Commuter Line E288466 entity
Predicate connects P390 FINISHED
Object Taguig E104725 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: Taguig | Statement: [PNR Metro Commuter Line, connects, Taguig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taguig
Context triple: [PNR Metro Commuter Line, connects, Taguig]
  • A. Taguig chosen
    Taguig is a highly urbanized city in Metro Manila in the Philippines, known for the Bonifacio Global City (BGC) business district and rapid commercial and residential development.
  • B. Kawit
    Kawit is a historic coastal municipality in the Philippine province of Cavite, best known as the site where Philippine independence from Spain was first proclaimed in 1898.
  • C. Kawit
    Kawit was an ancient Egyptian queen and consort during the 11th Dynasty, known from her richly decorated sarcophagus and tomb at Deir el-Bahri.
  • D. Malabon
    Malabon is a coastal city in the northern part of Metro Manila in the Philippines, known for its historic districts, flood-prone waterways, and distinctive local cuisine.
  • E. Muntinlupa
    Muntinlupa is a highly urbanized city in the southern part of Metro Manila in the Philippines, known for housing the New Bilibid Prison and major commercial and residential developments like Alabang.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156814148190b47d63a89fcab17c completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746055aac81909626eaa891199019 completed May 3, 2026, 12:56 p.m.
Created at: April 8, 2026, 9:49 p.m.