Triple

T14151139
Position Surface form Disambiguated ID Type / Status
Subject Nangan Island E350680 entity
Predicate governedAs P1715 FINISHED
Object Nangan Township E171785 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: Nangan Township | Statement: [Nangan Island, governedAs, Nangan Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nangan Township
Context triple: [Nangan Island, governedAs, Nangan Township]
  • A. Nangan Township chosen
    Nangan Township is the main administrative and population center of Taiwan’s Matsu Islands, known for its military history, coastal scenery, and role as a frontline outpost near mainland China.
  • B. Tada-U Township
    Tada-U Township is an administrative township in central Myanmar, located within the Mandalay Region.
  • C. Ngazun Township
    Ngazun Township is an administrative township in central Myanmar, located within the Mandalay Region.
  • D. Majia Township
    Majia Township is a rural indigenous township in Pingtung County, Taiwan, known for its mountainous terrain and Paiwan cultural heritage.
  • E. Neipu Township
    Neipu Township is a rural administrative township located in central Pingtung County in southern Taiwan, known for its agricultural landscape and local Hakka culture.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6124e23481909e5132a40a1d8624 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e86820819099d6e3d3d4229f0d completed May 7, 2026, 8:36 p.m.
Created at: April 10, 2026, 12:57 a.m.