Triple

T9086991
Position Surface form Disambiguated ID Type / Status
Subject Maojian District E217782 entity
Predicate subdivisionName P747 FINISHED
Object Maojian District E217782 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: Maojian District | Statement: [Maojian District, subdivisionName, Maojian District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maojian District
Context triple: [Maojian District, subdivisionName, Maojian District]
  • A. Maojian District chosen
    Maojian District is the central urban district and administrative seat of Shiyan, a prefecture-level city in Hubei Province, China.
  • B. Yuhua District
    Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
  • C. Xialu District
    Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
  • D. Chengguan District
    Chengguan District is the central urban district and administrative, commercial, and cultural core of Lanzhou, the capital of Gansu Province in northwestern China.
  • E. Chengguan District
    Chengguan District is the central urban district of Lhasa, serving as the political, economic, and cultural core of the Tibet Autonomous Region's capital city.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965646408190b041ab0e2d5dbc94 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e3e1ac348190aec39a41b8b113dc completed April 5, 2026, 4:24 a.m.
Created at: March 30, 2026, 7:13 p.m.