Triple

T15660303
Position Surface form Disambiguated ID Type / Status
Subject Keelung E376549 entity
Predicate hasName P744 FINISHED
Object Chilung E376549 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: Chilung | Statement: [Keelung, hasName, Chilung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilung
Context triple: [Keelung, hasName, Chilung]
  • A. Chilung chosen
    Chilung is an alternative romanization of Keelung, a major port city in northern Taiwan known for its harbor and night market.
  • B. Tillangchong
    Tillangchong is a remote, sparsely inhabited island in India’s Nicobar archipelago, noted for its dense tropical forests and rich marine and bird life.
  • C. Chuping
    Chuping is a town in the Malaysian state of Perlis, known for its extensive sugarcane plantations and hot climate.
  • D. Chang Naga
    Chang Naga are an indigenous Naga ethnic group of northeastern India, known for their distinct language, traditional warrior culture, and rich ceremonial practices.
  • E. Phungling
    Phungling is a town in eastern Nepal that serves as the main urban and commercial center of Taplejung District in Province No. 1.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef4e6a08190ad8bbafaa3612f22 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed6f50c81909d87ced263064f0d completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:15 a.m.