Triple

T16692292
Position Surface form Disambiguated ID Type / Status
Subject Asan plant E405623 entity
Predicate headquartersLocation P62 FINISHED
Object Asan E215809 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: Asan | Statement: [Asan plant, headquartersLocation, Asan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asan
Context triple: [Asan plant, headquartersLocation, Asan]
  • A. Asan chosen
    Asan is a city in South Korea known for its hot springs, historical sites, and growing role as an industrial and educational center.
  • B. Asanina
    Asanina is a Byzantine noble family name associated with the influential Asen (Asan) dynasty.
  • C. Asan-Maina
    Asan-Maina is a village municipality on the western coast of Guam, known for its historical significance in World War II and proximity to the island’s capital, Hagåtña.
  • D. Asen
    Asen was a medieval Bulgarian noble and co-leader, with his brother Peter, of the uprising that restored the Second Bulgarian Empire in the late 12th century.
  • E. Asav
    Asav is the primary villain in the video game "Uncharted: The Lost Legacy," a ruthless insurgent leader seeking an ancient artifact to fuel his violent ambitions.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eaacb948190954231c9e97a4adf completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d36aa90819090b738c1c94dcb9f completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:19 a.m.