Triple

T15463327
Position Surface form Disambiguated ID Type / Status
Subject Tafuna Airport E371959 entity
Predicate locatedInSettlement P21214 FINISHED
Object Tafuna E74322 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: Tafuna | Statement: [Tafuna Airport, locatedInSettlement, Tafuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tafuna
Context triple: [Tafuna Airport, locatedInSettlement, Tafuna]
  • A. Tafuna chosen
    Tafuna is a major suburban and commercial area on the island of Tutuila in American Samoa, known for its population density and proximity to the territory’s main airport.
  • B. Kafoa
    Kafoa is a lesser-known Papuan language spoken on the Alor archipelago in eastern Indonesia, belonging to the Alor–Pantar language family.
  • C. Wailea
    Wailea is a luxury resort community on the south shore of Maui, Hawaii, known for its upscale hotels, golf courses, and beautiful beaches.
  • D. Kapalua
    Kapalua is a resort community on the northwest coast of Maui, Hawaii, known for its luxury accommodations, golf courses, and scenic beaches.
  • E. Pajo
    Pajo is a barangay (village-level administrative division) located in the municipality of Daanbantayan in Cebu, Philippines.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1927708190a0d2b63e75469a0e completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff28d38a4819085bf051b566c17e7 completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 3:32 a.m.