Triple

T23282479
Position Surface form Disambiguated ID Type / Status
Subject Fenyang, Shanxi E588901 entity
Predicate hasChineseName P4878 FINISHED
Object 汾阳
汾阳 is a county-level city in central Shanxi Province, China, known for its historical heritage and traditional northern Chinese culture.
E1576149 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: 汾阳 | Statement: [Fenyang, Shanxi, hasChineseName, 汾阳]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 汾阳
Context triple: [Fenyang, Shanxi, hasChineseName, 汾阳]
  • A. 阳泉市
    阳泉市是位于中国山西省中部、以煤炭工业和重工业为主的地级城市。
  • B. Kent Valley
    Kent Valley is a low-lying, historically agricultural and now heavily industrial and commercial floodplain region in King County, Washington, encompassing much of the city of Kent and surrounding areas.
  • C. Veria
    Veria is a historic city in northern Greece known for its ancient Macedonian heritage and early Christian significance.
  • D. Abergavenny
    Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
  • E. Hereford
    Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
  • 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: 汾阳
Triple: [Fenyang, Shanxi, hasChineseName, 汾阳]
Generated description
汾阳 is a county-level city in central Shanxi Province, China, known for its historical heritage and traditional northern Chinese culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 汾阳
Target entity description: 汾阳 is a county-level city in central Shanxi Province, China, known for its historical heritage and traditional northern Chinese culture.
  • A. 阳泉市
    阳泉市是位于中国山西省中部、以煤炭工业和重工业为主的地级城市。
  • B. Kent Valley
    Kent Valley is a low-lying, historically agricultural and now heavily industrial and commercial floodplain region in King County, Washington, encompassing much of the city of Kent and surrounding areas.
  • C. Veria
    Veria is a historic city in northern Greece known for its ancient Macedonian heritage and early Christian significance.
  • D. Abergavenny
    Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
  • E. Hereford
    Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196447a748190bd797ec9baa63fc3 completed April 29, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7f06a08190a3ac574cdcd79e3d completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c4075bc508190ae0dc8b61c24faa0 completed May 19, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c411926fc8190b84a86450e5779c7 completed May 19, 2026, 10:53 a.m.
Created at: April 17, 2026, 4:58 p.m.