Triple

T6148733
Position Surface form Disambiguated ID Type / Status
Subject Southern Taiwan E137143 entity
Predicate hasMajorCity P316 FINISHED
Object Chiayi City E316602 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: Chiayi City | Statement: [Southern Taiwan, hasMajorCity, Chiayi City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiayi City
Context triple: [Southern Taiwan, hasMajorCity, Chiayi City]
  • A. Taichung
    Taichung is a major city in central Taiwan known for its cultural attractions, mild climate, and role as an important economic and transportation hub.
  • B. Tainan
    Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
  • C. Chiayi County
    Chiayi County is a largely rural county in southwestern Taiwan known for its agriculture, cultural attractions, and proximity to scenic areas such as Alishan.
  • D. Pingtung City
    Pingtung City is an urban center in southern Taiwan known as the political and economic hub of Pingtung County.
  • E. Chiayi City, Taiwan chosen
    Chiayi City, Taiwan, is a historic city in southwestern Taiwan known as a gateway to Alishan and for its rich cultural heritage and traditional night markets.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05ce21820819096be9159d6b70a5f completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603dd70b48190844e513246930b53 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:16 p.m.