Triple

T11689993
Position Surface form Disambiguated ID Type / Status
Subject Government of Quezon City E277842 entity
Predicate seat P75 FINISHED
Object Quezon City Hall E56240 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: Quezon City Hall | Statement: [Government of Quezon City, seat, Quezon City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quezon City Hall
Context triple: [Government of Quezon City, seat, Quezon City Hall]
  • A. Quezon City Hall chosen
    Quezon City Hall is the main government complex and administrative center of Quezon City in Metro Manila, Philippines.
  • B. Manila City Hall
    Manila City Hall is a prominent government building and historical landmark in the Philippines’ capital, known for its distinctive clock tower and its location at the site of intense fighting during the 1945 Battle of Manila.
  • C. Makati City Hall
    Makati City Hall is the main government building and administrative center of Makati, a major financial and business district in Metro Manila, Philippines.
  • D. Caloocan City Hall
    Caloocan City Hall is the main government building and administrative center of Caloocan, a highly urbanized city in Metro Manila, Philippines.
  • E. Cavite City Hall
    Cavite City Hall is the main government building and administrative center of Cavite City in the Philippines.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a478f4c481908b2ba7b70972590d completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f59c6108190a9c4c7b17c2fb401 completed May 1, 2026, 5:51 a.m.
Created at: April 8, 2026, 9:40 p.m.