Triple

T18089470
Position Surface form Disambiguated ID Type / Status
Subject Mount Santo Tomas E432926 entity
Predicate viewOf P854 FINISHED
Object Lingayen 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: Lingayen Gulf | Statement: [Mount Santo Tomas, viewOf, Lingayen Gulf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lingayen Gulf
Context triple: [Mount Santo Tomas, viewOf, Lingayen Gulf]
  • A. Lingayen Gulf chosen
    Lingayen Gulf is a large bay on the northwestern coast of Luzon in the Philippines, known for its historical role in World War II and its fishing and coastal communities.
  • B. Lagonoy Gulf
    Lagonoy Gulf is a large body of water in southeastern Luzon, Philippines, known for its rich marine resources and coastal fishing communities.
  • C. 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.
  • D. Moro Gulf
    Moro Gulf is a large, deep inlet of the Celebes Sea in the southern Philippines, known for its rich marine biodiversity and history of powerful earthquakes and tsunamis.
  • E. 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.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd16e2148190a63cc981898e8ade completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.