Triple

T5608113
Position Surface form Disambiguated ID Type / Status
Subject PGUM E147283 entity
Predicate cityServed P82 FINISHED
Object Tamuning E147280 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: Tamuning | Statement: [PGUM, cityServed, Tamuning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamuning
Context triple: [PGUM, cityServed, Tamuning]
  • A. Tamuning chosen
    Tamuning is a coastal village and major commercial center on the western shore of Guam in the Western Pacific.
  • B. Tututni
    Tututni refers to a group of Athabaskan-speaking Indigenous peoples from southwestern Oregon, whose descendants are among those represented in the Confederated Tribes of Siletz Indians.
  • C. Tamalu
    Tamalu is a village located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • D. Tulunan
    Tulunan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known primarily for its agricultural economy.
  • E. Tamakautoga
    Tamakautoga is a small settlement located on Nonouti Island in the Pacific island nation of Kiribati.
  • 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.