Triple

T9202137
Position Surface form Disambiguated ID Type / Status
Subject Parang E220867 entity
Predicate hasCoastlineOn P212 FINISHED
Object Moro Gulf E283172 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: Moro Gulf | Statement: [Parang, hasCoastlineOn, Moro Gulf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moro Gulf
Context triple: [Parang, hasCoastlineOn, Moro Gulf]
  • A. Moro Gulf chosen
    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.
  • B. 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.
  • C. Lingayen Gulf
    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.
  • D. 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.
  • E. Lagonoy Gulf
    Lagonoy Gulf is a large body of water in southeastern Luzon, Philippines, known for its rich marine resources and coastal fishing communities.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd943cfb0819082231d80f0dc073b completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d110107c4c819091037d83362b0021 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:25 p.m.