Triple

T8079254
Position Surface form Disambiguated ID Type / Status
Subject Batangas E188572 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Batangas Bay E439451 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: Batangas Bay | Statement: [Batangas, hasBodyOfWater, Batangas Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batangas Bay
Context triple: [Batangas, hasBodyOfWater, Batangas Bay]
  • A. Batangas Bay chosen
    Batangas Bay is a natural harbor on the southern coast of Luzon in the Philippines, serving as a key maritime and industrial hub for the surrounding region.
  • B. Tayabas Bay
    Tayabas Bay is a body of water along the southern coast of Luzon in the Philippines, known for its fishing grounds and coastal communities.
  • C. Manila Bay
    Manila Bay is a natural harbor on the western coast of Luzon in the Philippines, historically significant as a strategic maritime gateway and site of major naval battles.
  • D. Bacoor Bay
    Bacoor Bay is a coastal inlet in the province of Cavite in the Philippines, forming part of the larger Manila Bay and bordered by the city of Bacoor.
  • E. Balayan Bay
    Balayan Bay is a coastal bay in the province of Batangas on the southwestern part of Luzon in the Philippines, known for its fishing grounds and scenic shoreline.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a3f01c819096a2c9d5d5199fe6 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93eddef48190b5f499a5b52428c8 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:28 p.m.