Triple

T8524031
Position Surface form Disambiguated ID Type / Status
Subject Mayabeque River E201765 entity
Predicate isInhabitedPlaceNearby P61362 FINISHED
Object Batabanó E28770 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: Batabanó | Statement: [Mayabeque River, isInhabitedPlaceNearby, Batabanó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batabanó
Context triple: [Mayabeque River, isInhabitedPlaceNearby, Batabanó]
  • A. Batabanó chosen
    Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
  • B. Batian
    Batian is the highest peak of Mount Kenya, a prominent volcanic mountain in central Kenya.
  • C. Batbayan
    Batbayan was a 7th-century Bulgar leader, known as the eldest son and successor of Khan Kubrat who briefly ruled the fragmented confederation of Old Great Bulgaria before its dissolution under Khazar pressure.
  • D. Malabanias
    Malabanias is a barangay (village-level administrative district) within Angeles City in Pampanga, Philippines, known for its mixed residential, commercial, and entertainment areas.
  • E. Balabac
    Balabac is a remote island municipality in the southernmost part of the Philippine province of Palawan, known for its rich marine biodiversity and pristine beaches.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4578d9c8819096b3853d01c3ec11 completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e9219108190979430a4308fc4c5 completed April 2, 2026, 11:10 a.m.
Created at: March 30, 2026, 6:16 p.m.