Triple

T9168446
Position Surface form Disambiguated ID Type / Status
Subject Yunmeng County E220022 entity
Predicate hasChineseName P4878 FINISHED
Object 云梦县
云梦县是位于中国湖北省孝感市下辖的一座以农业和历史文化闻名的县级行政区。
 E782413 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: 云梦县 | Statement: [Yunmeng County, hasChineseName, 云梦县]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 云梦县
Context triple: [Yunmeng County, hasChineseName, 云梦县]
  • A. Kreis Zeitz
    Kreis Zeitz was a rural administrative district in the former East German region of Bezirk Halle, centered around the town of Zeitz.
  • B. Kreis Waren
    Kreis Waren was a rural district in the former East German state structure, situated in the region administered by the Bezirk Neubrandenburg between 1952 and 1990.
  • C. County of Hanau
    The County of Hanau was a historical territorial state within the Holy Roman Empire, centered around the town of Hanau in present-day Hesse, Germany.
  • D. Landkreis Ostalbkreis
    Landkreis Ostalbkreis is a rural district in the eastern part of Baden-Württemberg, Germany, known for its mix of industrial towns and scenic landscapes along the Swabian Jura.
  • E. Kreis Döbeln
    Kreis Döbeln was a former rural district in the Free State of Saxony in eastern Germany, centered around the town of Döbeln and later incorporated into larger administrative units during regional reforms.
  • 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: 云梦县
Triple: [Yunmeng County, hasChineseName, 云梦县]
Generated description
云梦县是位于中国湖北省孝感市下辖的一座以农业和历史文化闻名的县级行政区。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 云梦县
Target entity description: 云梦县是位于中国湖北省孝感市下辖的一座以农业和历史文化闻名的县级行政区。
  • A. Kreis Zeitz
    Kreis Zeitz was a rural administrative district in the former East German region of Bezirk Halle, centered around the town of Zeitz.
  • B. Kreis Waren
    Kreis Waren was a rural district in the former East German state structure, situated in the region administered by the Bezirk Neubrandenburg between 1952 and 1990.
  • C. County of Hanau
    The County of Hanau was a historical territorial state within the Holy Roman Empire, centered around the town of Hanau in present-day Hesse, Germany.
  • D. Landkreis Ostalbkreis
    Landkreis Ostalbkreis is a rural district in the eastern part of Baden-Württemberg, Germany, known for its mix of industrial towns and scenic landscapes along the Swabian Jura.
  • E. Kreis Döbeln
    Kreis Döbeln was a former rural district in the Free State of Saxony in eastern Germany, centered around the town of Döbeln and later incorporated into larger administrative units during regional reforms.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaadfb50881909b9127f92e4b3e21 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05491ccec819093fcf2d764c5381b completed April 4, 2026, midnight
NEDg Description generation batch_69d05628d8708190a85437c5051a5a05 completed April 4, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69d056e4ad98819086e73edf15aa6210 completed April 4, 2026, 12:10 a.m.
Created at: March 30, 2026, 7:22 p.m.