Triple

T5599193
Position Surface form Disambiguated ID Type / Status
Subject Jilin Province E147072 entity
Predicate containsCity P294 FINISHED
Object Siping
Siping is a prefecture-level city in northeastern China known for its agricultural base and strategic location within Jilin Province.
E528877 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: Siping | Statement: [Jilin Province, containsCity, Siping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siping
Context triple: [Jilin Province, containsCity, Siping]
  • A. Helong
    The Helong are an indigenous ethnic group of western Timor known for their distinct Austronesian language and traditional coastal and island communities.
  • B. Suihua
    Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
  • C. Songyuan
    Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
  • D. Ngawi
    Ngawi is a regency capital and regional town in East Java, Indonesia, known as a transportation hub and gateway between Central and East Java.
  • E. Mudanjiang
    Mudanjiang is a prefecture-level city in southeastern Heilongjiang Province in northeastern China, known as a regional transport hub and gateway to nearby scenic and border areas.
  • 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: Siping
Triple: [Jilin Province, containsCity, Siping]
Generated description
Siping is a prefecture-level city in northeastern China known for its agricultural base and strategic location within Jilin Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Siping
Target entity description: Siping is a prefecture-level city in northeastern China known for its agricultural base and strategic location within Jilin Province.
  • A. Helong
    The Helong are an indigenous ethnic group of western Timor known for their distinct Austronesian language and traditional coastal and island communities.
  • B. Suihua
    Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
  • C. Songyuan
    Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
  • D. Ngawi
    Ngawi is a regency capital and regional town in East Java, Indonesia, known as a transportation hub and gateway between Central and East Java.
  • E. Mudanjiang
    Mudanjiang is a prefecture-level city in southeastern Heilongjiang Province in northeastern China, known as a regional transport hub and gateway to nearby scenic and border areas.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020d82870819087f9591b5a1021ce completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287139508190aa646918228cfdc0 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0350eb53081909dc573fefa3e7f0a completed March 22, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c036ee4e1c8190b9e60655d72407ff completed March 22, 2026, 6:37 p.m.
Created at: March 22, 2026, 3:38 p.m.