Triple

T19267161
Position Surface form Disambiguated ID Type / Status
Subject City of Makati E481814 entity
Predicate hasLandmark P105 FINISHED
Object PBCom Tower NE NERFINISHED

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: PBCom Tower | Statement: [City of Makati, hasLandmark, PBCom Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PBCom Tower
Context triple: [City of Makati, hasLandmark, PBCom Tower]
  • A. PBCom Tower chosen
    PBCom Tower is a prominent skyscraper in Makati, Philippines, known as one of the country's tallest office buildings and a major hub for corporate and financial institutions.
  • B. Capital One Tower
    Capital One Tower is a prominent high-rise office building that serves as the headquarters of Capital One and a defining feature of the Tysons, Virginia skyline.
  • C. Bank One Tower
    Bank One Tower is the former name of Salesforce Tower, a prominent office skyscraper and one of the tallest buildings in Indianapolis, Indiana.
  • D. Ernst & Young Tower
    Ernst & Young Tower is a prominent office skyscraper in downtown Toronto that forms part of the city’s major financial district skyline.
  • E. Bloomberg Tower
    Bloomberg Tower is a prominent mixed-use skyscraper in Midtown Manhattan that houses Bloomberg L.P.’s global headquarters along with offices, retail space, and luxury residences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8e1f888190a95f60fa29ca3b98 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.