Triple

T5608098
Position Surface form Disambiguated ID Type / Status
Subject GUM E147282 entity
Predicate nearCity P350 FINISHED
Object Barrigada E147281 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: Barrigada | Statement: [GUM, nearCity, Barrigada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barrigada
Context triple: [GUM, nearCity, Barrigada]
  • A. Barrigada chosen
    Barrigada is a central village on the island of Guam that serves as a key residential and transportation hub.
  • B. Bantayan town
    Bantayan town is a coastal municipality in the province of Cebu, Philippines, serving as one of the main population and commercial centers on Bantayan Island.
  • C. Caticlan
    Caticlan is a coastal barangay in Malay, Aklan in the Philippines, best known as the main gateway to the resort island of Boracay via its nearby jetty port and airport.
  • D. Isabelo
    Isabelo is a masculine given name of Spanish origin, notably borne by Filipino writer and politician Isabelo de los Reyes.
  • E. Balangiga
    Balangiga is a coastal municipality in the province of Eastern Samar in the Philippines, historically known for the 1901 Balangiga encounter during the Philippine–American War.
  • 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_69c04d4465388190b28f47f11e133b6a completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:39 p.m.