Triple

T4283312
Position Surface form Disambiguated ID Type / Status
Subject Quanzhou E97206 entity
Predicate knownAs P39 FINISHED
Object Citong
Citong is an alternative historical name for the coastal Chinese city of Quanzhou in Fujian Province.
 E426392 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: Citong | Statement: [Quanzhou, knownAs, Citong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Citong
Context triple: [Quanzhou, knownAs, Citong]
  • A. Tilantongo
    Tilantongo was a prominent pre-Columbian Mixtec city-state in present-day Oaxaca, Mexico, known as a political and cultural hub of the Mixtec civilization.
  • B. Tsintzina
    Tsintzina is a traditional mountain village located on the slopes of the Parnon range in the Peloponnese region of Greece.
  • C. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • D. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • E. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • 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: Citong
Triple: [Quanzhou, knownAs, Citong]
Generated description
Citong is an alternative historical name for the coastal Chinese city of Quanzhou in Fujian Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Citong
Target entity description: Citong is an alternative historical name for the coastal Chinese city of Quanzhou in Fujian Province.
  • A. Tilantongo
    Tilantongo was a prominent pre-Columbian Mixtec city-state in present-day Oaxaca, Mexico, known as a political and cultural hub of the Mixtec civilization.
  • B. Tsintzina
    Tsintzina is a traditional mountain village located on the slopes of the Parnon range in the Peloponnese region of Greece.
  • C. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • D. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • E. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503a84548190989a96d1a30d6ef7 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7bec1a88190bd36ed6d48e1c94e completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b870a66c8190a59bfc0e99234596 completed March 14, 2026, 7:35 p.m.
NED2 Entity disambiguation (via description) batch_69b5b908fad88190846278c782a10cdb completed March 14, 2026, 7:37 p.m.
Created at: March 12, 2026, 11:07 p.m.