Triple

T19035285
Position Surface form Disambiguated ID Type / Status
Subject Cainta E465850 entity
Predicate locatedNear P294 FINISHED
Object Taytay, Rizal 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: Taytay, Rizal | Statement: [Cainta, locatedNear, Taytay, Rizal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taytay, Rizal
Context triple: [Cainta, locatedNear, Taytay, Rizal]
  • A. Taytay, Rizal chosen
    Taytay, Rizal is a highly urbanized municipality in the province of Rizal in the Philippines, known as a major center for the country’s garment and clothing industry.
  • B. Tingloy, Batangas
    Tingloy, Batangas is a small island municipality in the province of Batangas, Philippines, known for its beaches, diving spots, and the scenic Masasa Beach.
  • C. Tayabas
    Tayabas is a historic city in the province of Quezon in the Calabarzon region of the Philippines, known for its Spanish-era heritage structures and cultural festivals.
  • D. Talisay, Batangas
    Talisay, Batangas is a lakeside municipality in the Philippines known as a primary gateway to Taal Volcano and its scenic crater lake.
  • E. Tagaytay
    Tagaytay is a popular highland city in the Philippines known for its cool climate and scenic views of Taal Volcano and Taal Lake.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7438f748190912c28912e6b97a6 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.