Triple

T2169011
Position Surface form Disambiguated ID Type / Status
Subject Ermita E46978 entity
Predicate hasLandmark P105 FINISHED
Object Rizal Park E46067 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: Rizal Park | Statement: [Ermita, hasLandmark, Rizal Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rizal Park
Context triple: [Ermita, hasLandmark, Rizal Park]
  • A. Rizal Park chosen
    Rizal Park is a historic urban park in Manila, Philippines, known as a central site for national monuments, public gatherings, and key events in Philippine history.
  • B. Quezon Memorial Circle
    Quezon Memorial Circle is a national park and shrine in Quezon City centered around a towering monument honoring former Philippine President Manuel L. Quezon.
  • C. 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.
  • D. Callao Square
    Callao Square is a bustling central plaza in Madrid, Spain, known for its cinemas, shops, and prominent advertising screens along the Gran Vía.
  • E. Ortigas Center
    Ortigas Center is a major mixed-use central business district in the Philippines known for its corporate offices, shopping malls, and high-rise developments.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeadaed481908d6afa942d7155b8 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f26334819095202544d37e6850 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.