Triple

T6978212
Position Surface form Disambiguated ID Type / Status
Subject Yantai E161767 entity
Predicate hasDistrict P459 FINISHED
Object Mouping District
Mouping District is an urban administrative district of the coastal city of Yantai in Shandong Province, China.
E688492 NE FINISHED

How this triple was built (4 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: Mouping District | Statement: [Yantai, hasDistrict, Mouping District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mouping District
Context triple: [Yantai, hasDistrict, Mouping District]
  • A. Xisaishan District
    Xisaishan District is an urban administrative district of Huangshi City in Hubei Province, China.
  • B. Wugu District
    Wugu District is an urban district of New Taipei City in northern Taiwan, known for its industrial areas and proximity to Taipei.
  • C. Tunxi District
    Tunxi District is the central urban district and main commercial hub of Huangshan City in Anhui Province, China, known as a gateway to the nearby Huangshan (Yellow Mountain) scenic area.
  • D. Xiling District
    Xiling District is the central urban district and administrative, commercial, and cultural hub of Yichang in Hubei Province, China.
  • E. Hekou District
    Hekou District is an urban administrative district of Dongying City in Shandong Province, China, known for its role in the development of the Shengli oilfield and the Yellow River Delta region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mouping District
Triple: [Yantai, hasDistrict, Mouping District]
Generated description
Mouping District is an urban administrative district of the coastal city of Yantai in Shandong Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mouping District
Target entity description: Mouping District is an urban administrative district of the coastal city of Yantai in Shandong Province, China.
  • A. Xisaishan District
    Xisaishan District is an urban administrative district of Huangshi City in Hubei Province, China.
  • B. Wugu District
    Wugu District is an urban district of New Taipei City in northern Taiwan, known for its industrial areas and proximity to Taipei.
  • C. Tunxi District
    Tunxi District is the central urban district and main commercial hub of Huangshan City in Anhui Province, China, known as a gateway to the nearby Huangshan (Yellow Mountain) scenic area.
  • D. Xiling District
    Xiling District is the central urban district and administrative, commercial, and cultural hub of Yichang in Hubei Province, China.
  • E. Hekou District
    Hekou District is an urban administrative district of Dongying City in Shandong Province, China, known for its role in the development of the Shengli oilfield and the Yellow River Delta region.
  • F. None of above. chosen

Provenance (5 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db68d25c8190a1776908619ad979 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8de8efd648190b70b4299ecae32c7 completed March 29, 2026, 8:10 a.m.
NEDg Description generation batch_69c8deee7b8881909d5012e08c758762 completed March 29, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_69c8dfa7eb9881909e595389bec8436e completed March 29, 2026, 8:15 a.m.
Created at: March 27, 2026, 2:31 p.m.