Triple

T5854001
Position Surface form Disambiguated ID Type / Status
Subject Guam Office of Public Accountability E130104 entity
Predicate locatedIn P40 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: [Guam Office of Public Accountability, locatedIn, Hagåtña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagåtña
Context triple: [Guam Office of Public Accountability, locatedIn, 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035529cf88190acc547ae839950e7 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b8f8508190942ce1725884d254 completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.