Triple

T15158099
Position Surface form Disambiguated ID Type / Status
Subject Anshan E362130 entity
Predicate hasSubdivision P747 FINISHED
Object Haicheng City
Haicheng City is a county-level city administered by Anshan in Liaoning Province, northeastern China, known for its industrial base and regional commerce.
E1145408 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: Haicheng City | Statement: [Anshan, hasSubdivision, Haicheng City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haicheng City
Context triple: [Anshan, hasSubdivision, Haicheng City]
  • A. Zunhua City
    Zunhua City is a county-level city in northeastern Hebei Province, China, known for its historical sites and administrative affiliation with the prefecture-level city of Tangshan.
  • B. Jianyang
    Jianyang is a county-level city in northern Fujian Province, China, known for its historical role in tea production and its location along the Min River.
  • C. Quidong
    Quidong is a rural locality in New South Wales, Australia, situated within the Snowy Monaro region.
  • D. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • E. Jiyuan City
    Jiyuan City is a county-level city in Henan Province, China, known for its mountainous scenery and historical sites such as Mount Wangwu.
  • 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: Haicheng City
Triple: [Anshan, hasSubdivision, Haicheng City]
Generated description
Haicheng City is a county-level city administered by Anshan in Liaoning Province, northeastern China, known for its industrial base and regional commerce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haicheng City
Target entity description: Haicheng City is a county-level city administered by Anshan in Liaoning Province, northeastern China, known for its industrial base and regional commerce.
  • A. Zunhua City
    Zunhua City is a county-level city in northeastern Hebei Province, China, known for its historical sites and administrative affiliation with the prefecture-level city of Tangshan.
  • B. Jianyang
    Jianyang is a county-level city in northern Fujian Province, China, known for its historical role in tea production and its location along the Min River.
  • C. Quidong
    Quidong is a rural locality in New South Wales, Australia, situated within the Snowy Monaro region.
  • D. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • E. Jiyuan City
    Jiyuan City is a county-level city in Henan Province, China, known for its mountainous scenery and historical sites such as Mount Wangwu.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060dd71881908ecc4a4f52d438a5 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd27f2f481909dc26889c973932e completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedfa13fc88190a01cf179bcf0aef4 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0f3a71c81909ce3f62df78cc47f completed May 9, 2026, 7:23 a.m.
Created at: April 10, 2026, 3:08 a.m.