Triple

T18244167
Position Surface form Disambiguated ID Type / Status
Subject Operation Topside E436901 entity
Predicate location P40 FINISHED
Object Manila Bay 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: Manila Bay | Statement: [Operation Topside, location, Manila Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manila Bay
Context triple: [Operation Topside, location, Manila Bay]
  • A. Manila Bay chosen
    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.
  • B. Batangas Bay
    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.
  • 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. 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.
  • 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 (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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e5d63081908d0e6249578867a1 completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.