Triple

T18580457
Position Surface form Disambiguated ID Type / Status
Subject Enfield Town railway station E454098 entity
Predicate stationCode P1289 FINISHED
Object ENF
ENF is the National Rail station code for Enfield Town railway station in north London.
 E1331814 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: ENF | Statement: [Enfield Town railway station, stationCode, ENF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENF
Context triple: [Enfield Town railway station, stationCode, ENF]
  • A. ENF
    ENF is a former right-wing to far-right political group in the European Parliament composed of nationalist and Eurosceptic parties from various EU member states.
  • B. ENJ
    ENJ is the ICAO airline designator assigned to Enerjet, a Canadian low-cost charter airline.
  • C. ENH
    ENH is the IATA airport code for Enshi Xujiaping Airport, a regional airport serving Enshi in Hubei Province, China.
  • D. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • E. ENNM
    ENNM is the ICAO airport code for Namsos Airport, Høknesøra in Norway.
  • 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: ENF
Triple: [Enfield Town railway station, stationCode, ENF]
Generated description
ENF is the National Rail station code for Enfield Town railway station in north London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENF
Target entity description: ENF is the National Rail station code for Enfield Town railway station in north London.
  • A. ENF
    ENF is a former right-wing to far-right political group in the European Parliament composed of nationalist and Eurosceptic parties from various EU member states.
  • B. ENJ
    ENJ is the ICAO airline designator assigned to Enerjet, a Canadian low-cost charter airline.
  • C. ENH
    ENH is the IATA airport code for Enshi Xujiaping Airport, a regional airport serving Enshi in Hubei Province, China.
  • D. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • E. ENNM
    ENNM is the ICAO airport code for Namsos Airport, Høknesøra in Norway.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543cf33288190bc2cd6b7befde944 completed April 19, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f88cb7c881909911b2c28a72fcf6 completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f9fc493881909ba9159748d4f3fb completed May 13, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_6a04fad8daa88190961d643d30a52aa7 completed May 13, 2026, 10:27 p.m.
Created at: April 10, 2026, 11:43 a.m.