Triple

T2803577
Position Surface form Disambiguated ID Type / Status
Subject Greenwich railway station E53999 entity
Predicate stationCode P1289 FINISHED
Object GWI
GWI is the National Rail station code for Greenwich railway station in London, England.
 E300480 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: GWI | Statement: [Greenwich railway station, stationCode, GWI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GWI
Context triple: [Greenwich railway station, stationCode, GWI]
  • A. GWW
    GWW is the IATA airport code for Gatow Airfield, a former military airfield in Berlin, Germany.
  • B. GAW
    GAW is a World Meteorological Organization program that coordinates global observations and analysis of atmospheric composition and related environmental changes.
  • C. GWE
    GWE is a Polish vehicle registration code assigned to the Wejherowo County area in the Pomeranian Voivodeship.
  • D. GIP
    GIP is the ISO 4217 currency code for the Gibraltar pound, the official currency of Gibraltar.
  • E. FGw
    FGw is the Faculty of Humanities at the University of Amsterdam, encompassing disciplines such as languages, history, philosophy, arts, and cultural studies.
  • 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: GWI
Triple: [Greenwich railway station, stationCode, GWI]
Generated description
GWI is the National Rail station code for Greenwich railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GWI
Target entity description: GWI is the National Rail station code for Greenwich railway station in London, England.
  • A. GWW
    GWW is the IATA airport code for Gatow Airfield, a former military airfield in Berlin, Germany.
  • B. GAW
    GAW is a World Meteorological Organization program that coordinates global observations and analysis of atmospheric composition and related environmental changes.
  • C. GWE
    GWE is a Polish vehicle registration code assigned to the Wejherowo County area in the Pomeranian Voivodeship.
  • D. GIP
    GIP is the ISO 4217 currency code for the Gibraltar pound, the official currency of Gibraltar.
  • E. FGw
    FGw is the Faculty of Humanities at the University of Amsterdam, encompassing disciplines such as languages, history, philosophy, arts, and cultural studies.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1409148190a06a401185a26b64 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc671964c81908cff1cfbd70c3786 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afcb9f73588190852ec35db9d9a7fd completed March 10, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69afcc0ddc188190a0d79974701556dd completed March 10, 2026, 7:45 a.m.
Created at: March 6, 2026, 9:59 p.m.