Triple

T1292918
Position Surface form Disambiguated ID Type / Status
Subject Antonio B. Won Pat International Airport E27587 entity
Predicate cityServed 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: [Antonio B. Won Pat International Airport, cityServed, Hagåtña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagåtña
Context triple: [Antonio B. Won Pat International Airport, cityServed, 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. 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.
  • C. Barrigada
    Barrigada is a central village on the island of Guam that serves as a key residential and transportation hub.
  • D. Saipan
    Saipan is the largest and most populous island of the Northern Mariana Islands, known for its World War II history and Pacific island tourism.
  • E. Tutuila
    Tutuila is the largest and most populous island of American Samoa, serving as its main political and economic center.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f09d5c81909e6dc036fe9c5b4a completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd4729af08190a6de5388dab69fee completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:51 p.m.