Triple

T12707841
Position Surface form Disambiguated ID Type / Status
Subject Yingkou E303634 entity
Predicate administers P123 FINISHED
Object Dashiqiao
Dashiqiao is a county-level city in Liaoning Province, China, known for its magnesite resources and industrial production.
 E1004175 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: Dashiqiao | Statement: [Yingkou, administers, Dashiqiao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dashiqiao
Context triple: [Yingkou, administers, Dashiqiao]
  • A. Beixinqiao
    Beixinqiao is a neighborhood and subway station area in central Beijing known for its traditional hutong streets, local eateries, and convenient access to several key city districts.
  • B. Hufangqiao
    Hufangqiao is a subway station in Beijing, China, serving passengers on the city's extensive metro network.
  • C. Tangqiao
    Tangqiao is a Shanghai Metro station located in the city's central area, serving passengers on the circular Line 4 route.
  • D. Jinqiao
    Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
  • E. Gubeikou
    Gubeikou is a historically significant mountain pass and Great Wall fortification in northern China that has long served as a strategic gateway between the North China Plain and the Mongolian plateau.
  • 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: Dashiqiao
Triple: [Yingkou, administers, Dashiqiao]
Generated description
Dashiqiao is a county-level city in Liaoning Province, China, known for its magnesite resources and industrial production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dashiqiao
Target entity description: Dashiqiao is a county-level city in Liaoning Province, China, known for its magnesite resources and industrial production.
  • A. Beixinqiao
    Beixinqiao is a neighborhood and subway station area in central Beijing known for its traditional hutong streets, local eateries, and convenient access to several key city districts.
  • B. Hufangqiao
    Hufangqiao is a subway station in Beijing, China, serving passengers on the city's extensive metro network.
  • C. Tangqiao
    Tangqiao is a Shanghai Metro station located in the city's central area, serving passengers on the circular Line 4 route.
  • D. Jinqiao
    Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
  • E. Gubeikou
    Gubeikou is a historically significant mountain pass and Great Wall fortification in northern China that has long served as a strategic gateway between the North China Plain and the Mongolian plateau.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620663e881908d367170ed6d2c81 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb1ca1081909b2e9e70f6a497dd completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f691341d0081909ca3b281ee64b42b completed May 3, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_69f692361c3c81909078a19be1a86231 completed May 3, 2026, 12:09 a.m.
Created at: April 9, 2026, 5:23 p.m.