Triple

T6521992
Position Surface form Disambiguated ID Type / Status
Subject Filton Abbey Wood railway station E151205 entity
Predicate stationCode P1289 FINISHED
Object FIT
FIT is the National Rail station code for Filton Abbey Wood railway station in Bristol, England.
 E605989 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: FIT | Statement: [Filton Abbey Wood railway station, stationCode, FIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FIT
Context triple: [Filton Abbey Wood railway station, stationCode, FIT]
  • A. FIT
    FIT is a software testing framework designed to facilitate collaboration between developers and customers by expressing and automatically checking requirements in tabular form.
  • B. The Fit
    The Fit is a literary work by British novelist and critic Philip Hensher, known for his sharp social observation and nuanced character portrayal.
  • C. Fitter
    Fitter is the NATO reporting name for the Soviet-designed Sukhoi Su-17/20/22 family of variable-sweep wing fighter-bomber aircraft.
  • D. Fittja
    Fittja is a suburban district in the southern part of the Stockholm metropolitan area in Sweden, known for its diverse population and large-scale postwar housing.
  • E. Fitting
    Fitting is a German surname most notably associated with Hans Fitting, a mathematician known for his contributions to group theory and the concept of the Fitting subgroup.
  • 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: FIT
Triple: [Filton Abbey Wood railway station, stationCode, FIT]
Generated description
FIT is the National Rail station code for Filton Abbey Wood railway station in Bristol, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FIT
Target entity description: FIT is the National Rail station code for Filton Abbey Wood railway station in Bristol, England.
  • A. FIT
    FIT is a software testing framework designed to facilitate collaboration between developers and customers by expressing and automatically checking requirements in tabular form.
  • B. The Fit
    The Fit is a literary work by British novelist and critic Philip Hensher, known for his sharp social observation and nuanced character portrayal.
  • C. Fitter
    Fitter is the NATO reporting name for the Soviet-designed Sukhoi Su-17/20/22 family of variable-sweep wing fighter-bomber aircraft.
  • D. Fittja
    Fittja is a suburban district in the southern part of the Stockholm metropolitan area in Sweden, known for its diverse population and large-scale postwar housing.
  • E. Fitting
    Fitting is a German surname most notably associated with Hans Fitting, a mathematician known for his contributions to group theory and the concept of the Fitting subgroup.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad95c2c88190b800aaaa73f99210 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5204e78819082bf991c2ece09df completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6aba9688190ada4f921768e314e completed March 27, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c6d830ed6c8190a39126d97a5246d3 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:45 p.m.