Triple

T10665144
Position Surface form Disambiguated ID Type / Status
Subject Thatcham railway station E251335 entity
Predicate stationCode P1289 FINISHED
Object THA
THA is the National Rail station code for Thatcham railway station in Berkshire, England.
 E876688 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: THA | Statement: [Thatcham railway station, stationCode, THA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: THA
Context triple: [Thatcham railway station, stationCode, THA]
  • A. THA
    THA is the three-letter ISO 3166-1 alpha-3 country code representing Thailand.
  • B. TKA
    TKA is a regional vehicle registration code used on license plates for cars registered in the Kazimierza Wielka area of Poland.
  • C. TKR
    TKR is the abbreviated name of the People's Security Army, a military or paramilitary organization associated with internal security and defense.
  • D. TJM
    TJM is the IATA airport code for Roshchino International Airport serving Tyumen in western Siberia, Russia.
  • E. TPA
    TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
  • 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: THA
Triple: [Thatcham railway station, stationCode, THA]
Generated description
THA is the National Rail station code for Thatcham railway station in Berkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: THA
Target entity description: THA is the National Rail station code for Thatcham railway station in Berkshire, England.
  • A. THA
    THA is the three-letter ISO 3166-1 alpha-3 country code representing Thailand.
  • B. TKA
    TKA is a regional vehicle registration code used on license plates for cars registered in the Kazimierza Wielka area of Poland.
  • C. TKR
    TKR is the abbreviated name of the People's Security Army, a military or paramilitary organization associated with internal security and defense.
  • D. TJM
    TJM is the IATA airport code for Roshchino International Airport serving Tyumen in western Siberia, Russia.
  • E. TPA
    TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31e8f5c8190ba03da312d397524 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9566e08190a92b49ce73963078 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc2b66c8190909a23927fbe3af5 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e189800819087bf6af15b2370a2 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:08 p.m.