Triple

T3489756
Position Surface form Disambiguated ID Type / Status
Subject Puerto Luisa E73696 entity
Predicate locatedOn P40 FINISHED
Object Navarino Island E236311 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: Navarino Island | Statement: [Puerto Luisa, locatedOn, Navarino Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navarino Island
Context triple: [Puerto Luisa, locatedOn, Navarino Island]
  • A. Navarino Island
    Navarino Island is a remote Chilean island in the Tierra del Fuego archipelago, known for its rugged subantarctic landscapes and status as one of the southernmost inhabited places in the world.
  • B. Serpentina Island
    Serpentina Island is a small island located within Guanabara Bay on the coast of Rio de Janeiro, Brazil.
  • C. 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.
  • D. Gezira Island
    Gezira Island is a large Nile island in central Cairo known for its upscale Zamalek district, cultural venues, and landmarks such as the Cairo Tower.
  • E. Isla Navarino chosen
    Isla Navarino is a remote Chilean island in the far south of South America, known for its rugged subantarctic landscapes and proximity to Cape Horn and the Beagle Channel.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb94190c8190a81eb41042e51a00 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373bb0e00819087899a394f50295d completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.