Triple

T14953503
Position Surface form Disambiguated ID Type / Status
Subject Tuqiao Station E372858 entity
Predicate hasStationCode P1289 FINISHED
Object BT13
BT13 is the station code assigned to Tuqiao Station on the Beijing Subway network.
E1128038 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: BT13 | Statement: [Tuqiao Station, hasStationCode, BT13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BT13
Context triple: [Tuqiao Station, hasStationCode, BT13]
  • A. BT1
    BT1 is the central Belfast city centre postcode district in Northern Ireland, covering key commercial and civic areas including Donegall Square.
  • B. Bloc B
    Bloc B is one of the main buildings within the Résidence Palace complex in Brussels, housing key European Union institutional facilities.
  • C. BTL
    BTL is the IATA airport code for W. K. Kellogg Airport, a public airport serving the Battle Creek, Michigan area.
  • D. BTL
    BTL is the National Rail station code for Batley railway station in West Yorkshire, England.
  • E. HKT
    HKT is the IATA airport code for Phuket International Airport, the main air gateway to Thailand’s popular island of Phuket.
  • 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: BT13
Triple: [Tuqiao Station, hasStationCode, BT13]
Generated description
BT13 is the station code assigned to Tuqiao Station on the Beijing Subway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BT13
Target entity description: BT13 is the station code assigned to Tuqiao Station on the Beijing Subway network.
  • A. BT1
    BT1 is the central Belfast city centre postcode district in Northern Ireland, covering key commercial and civic areas including Donegall Square.
  • B. Bloc B
    Bloc B is one of the main buildings within the Résidence Palace complex in Brussels, housing key European Union institutional facilities.
  • C. BTL
    BTL is the IATA airport code for W. K. Kellogg Airport, a public airport serving the Battle Creek, Michigan area.
  • D. BTL
    BTL is the National Rail station code for Batley railway station in West Yorkshire, England.
  • E. HKT
    HKT is the IATA airport code for Phuket International Airport, the main air gateway to Thailand’s popular island of Phuket.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cb336c8190b8a55106fa8fc500 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9c71cc8190aff9165a6f97981a completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe814659fc8190b1ddc30187d344e4 completed May 9, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69fe81a932b48190a483815d2350c3a4 completed May 9, 2026, 12:36 a.m.
Created at: April 10, 2026, 2:39 a.m.