Triple

T5608095
Position Surface form Disambiguated ID Type / Status
Subject GUM E147282 entity
Predicate servesCity P82 FINISHED
Object Hagåtña E46332 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: Hagåtña | Statement: [GUM, servesCity, Hagåtña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagåtña
Context triple: [GUM, servesCity, Hagåtña]
  • A. Hagåtña, Guam chosen
    Hagåtña, Guam is the small coastal capital city of the U.S. territory of Guam, serving as its political and administrative center.
  • B. Hagatna
    Hagatna is the small coastal capital city of the U.S. territory of Guam, known for its historic sites and role as the island’s administrative center.
  • C. Tumon Bay
    Tumon Bay is a popular resort and tourism district on the western coast of Guam, known for its white-sand beaches, clear waters, and concentration of hotels, shops, and nightlife.
  • D. Yigo, Guam
    Yigo, Guam is a largely rural municipality on the northern end of Guam that hosts Andersen Air Force Base and is one of the island’s largest villages by area.
  • E. Liloan
    Liloan is a coastal municipality in the province of Cebu in the Philippines, known for its historic lighthouse and scenic shoreline.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fd1b2c81908da154f7e11b90d8 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a074b7c8190ab70dde6f35f84d6 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:39 p.m.