Triple

T15682325
Position Surface form Disambiguated ID Type / Status
Subject Batong Line (Beijing Subway) E377607 entity
Predicate lineNumber P1864 FINISHED
Object BT
BT is the line designation used for Beijing's Batong Line, an extension of the Beijing Subway network serving the eastern suburbs.
E1170786 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: BT | Statement: [Batong Line (Beijing Subway), lineNumber, BT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BT
Context triple: [Batong Line (Beijing Subway), lineNumber, BT]
  • A. BT
    BT is the two-letter ISO 3166-1 alpha-2 country code assigned to Bhutan for international standardization purposes.
  • B. BT
    BT is the vehicle registration code used on license plates for the city and district of Bayreuth in Upper Franconia, Germany.
  • C. BT
    BT is a peer-to-peer file sharing protocol widely used for distributing large amounts of data over the internet.
  • D. BT
    BT is an American electronic music producer and composer known for pioneering trance and progressive electronic styles and for his innovative use of production techniques.
  • E. BT
    BT is a major British telecommunications and network services company providing broadband, mobile, TV, and IT services in the UK and internationally.
  • 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: BT
Triple: [Batong Line (Beijing Subway), lineNumber, BT]
Generated description
BT is the line designation used for Beijing's Batong Line, an extension of the Beijing Subway network serving the eastern suburbs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BT
Target entity description: BT is the line designation used for Beijing's Batong Line, an extension of the Beijing Subway network serving the eastern suburbs.
  • A. BT
    BT is the vehicle registration code used on license plates for the city and district of Bayreuth in Upper Franconia, Germany.
  • B. BT
    BT is the postcode area covering Belfast and much of Northern Ireland.
  • C. BT
    BT is a major British telecommunications and network services company providing broadband, mobile, TV, and IT services in the UK and internationally.
  • D. BT
    BT is the two-letter ISO 3166-1 alpha-2 country code assigned to Bhutan for international standardization purposes.
  • E. BT
    BT was the stock ticker symbol for Bankers Trust, a major American banking institution that played a significant role in investment banking and financial services before its acquisition by Deutsche Bank.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f306a1c8190a819541a3cc51f5a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee4c8688190ae2fefb56171161a completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff705476008190b6151491bf89654e completed May 9, 2026, 5:35 p.m.
NED2 Entity disambiguation (via description) batch_69ff70ea739081909f63657c8fd6fa81 completed May 9, 2026, 5:37 p.m.
Created at: April 10, 2026, 4:16 a.m.