Triple

T6830548
Position Surface form Disambiguated ID Type / Status
Subject San Andros Airport E157125 entity
Predicate locatedOn P40 FINISHED
Object Andros Island E28568 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: Andros Island | Statement: [San Andros Airport, locatedOn, Andros Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andros Island
Context triple: [San Andros Airport, locatedOn, Andros Island]
  • A. Andros Island chosen
    Andros Island is the largest island in the Bahamas, known for its extensive barrier reef, blue holes, and largely undeveloped natural landscapes.
  • B. Andros
    Andros is a Greek island in the Cyclades known for its mountainous terrain, lush valleys, and picturesque villages.
  • C. North Andros
    North Andros is a district on the Bahamian island of Andros, known for its small settlements, natural landscapes, and administrative role within the island.
  • D. Central Andros
    Central Andros is an administrative district on Andros Island in the Bahamas, encompassing a portion of the island’s central region and its surrounding settlements.
  • E. Paşalimanı Island
    Paşalimanı Island is a small Turkish island in the Sea of Marmara known for its tranquil villages, olive groves, and relatively undeveloped, natural coastline.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62820808190ad3c244893e88699 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a309dd4c81909f2a652f211911bc completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:18 p.m.