Triple

T18002947
Position Surface form Disambiguated ID Type / Status
Subject Tabaco City E430672 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Lagonoy Gulf 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: Lagonoy Gulf | Statement: [Tabaco City, hasBodyOfWater, Lagonoy Gulf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagonoy Gulf
Context triple: [Tabaco City, hasBodyOfWater, Lagonoy Gulf]
  • A. Lagonoy Gulf chosen
    Lagonoy Gulf is a large body of water in southeastern Luzon, Philippines, known for its rich marine resources and coastal fishing communities.
  • B. Panay Gulf
    Panay Gulf is a body of water in the central Philippines that separates Panay Island from Negros Island and connects to the Sulu Sea.
  • C. Davao Gulf
    Davao Gulf is a large inlet of the Philippine Sea in southeastern Mindanao, known for its rich marine biodiversity and as a key fishing and shipping area for the surrounding provinces and Davao City.
  • D. Albay Gulf
    Albay Gulf is a large inlet of the Philippine Sea in the Bicol Region of the Philippines, known for its rich marine biodiversity and coastal communities.
  • E. Sorsogon Bay
    Sorsogon Bay is a coastal inlet in the Bicol Region of the Philippines known for its rich marine resources and its role in the local fishing and aquaculture industries.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3ea60608190b977644e946407b7 completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.