Triple

T11909279
Position Surface form Disambiguated ID Type / Status
Subject Tower Hill E283350 entity
Predicate hasStationCode P1289 FINISHED
Object TWH
TWH is the National Rail station code for Tonbridge railway station in Kent, England.
E952976 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: TWH | Statement: [Tower Hill, hasStationCode, TWH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TWH
Context triple: [Tower Hill, hasStationCode, TWH]
  • A. WTDH
    WTDH is the radio callsign assigned to the NOAA Ship Okeanos Explorer, a U.S. research vessel dedicated to deep-ocean exploration.
  • B. HWH
    HWH is the station code for Howrah Junction, one of India’s busiest and oldest major railway terminals serving the Kolkata metropolitan area.
  • C. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • D. TTW
    TTW is the ICAO airline designator assigned to Tigerair Taiwan, a low-cost carrier based in Taiwan.
  • E. TW
    TW is the IATA airline designator assigned to T’way Air, a South Korean low-cost carrier.
  • 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: TWH
Triple: [Tower Hill, hasStationCode, TWH]
Generated description
TWH is the National Rail station code for Tonbridge railway station in Kent, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TWH
Target entity description: TWH is the National Rail station code for Tonbridge railway station in Kent, England.
  • A. WTDH
    WTDH is the radio callsign assigned to the NOAA Ship Okeanos Explorer, a U.S. research vessel dedicated to deep-ocean exploration.
  • B. HWH
    HWH is the station code for Howrah Junction, one of India’s busiest and oldest major railway terminals serving the Kolkata metropolitan area.
  • C. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • D. TTW
    TTW is the ICAO airline designator assigned to Tigerair Taiwan, a low-cost carrier based in Taiwan.
  • E. TW
    TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e5278eb081909a7ecfe38beeeda9 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418543258819083b49a5bbdc520cd completed May 1, 2026, 3:04 a.m.
NEDg Description generation batch_69f41f1d2da0819082f00cf61a6530b6 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f42291f3608190ab079f939d34cf15 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.