Triple

T7506624
Position Surface form Disambiguated ID Type / Status
Subject Tower Hill station E177405 entity
Predicate hasStationCode P1289 FINISHED
Object ZTH
ZTH is the National Rail station code for Tower Hill railway station in London, United Kingdom.
E668898 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: ZTH | Statement: [Tower Hill station, hasStationCode, ZTH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZTH
Context triple: [Tower Hill station, hasStationCode, ZTH]
  • A. ZTH
    ZTH is the IATA airport code for Zakynthos International Airport, the main air gateway to the Greek island of Zakynthos.
  • B. ZUT
    ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
  • C. ZTU
    ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
  • D. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • E. ZBH
    ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
  • 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: ZTH
Triple: [Tower Hill station, hasStationCode, ZTH]
Generated description
ZTH is the National Rail station code for Tower Hill railway station in London, United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZTH
Target entity description: ZTH is the National Rail station code for Tower Hill railway station in London, United Kingdom.
  • A. ZTH
    ZTH is the IATA airport code for Zakynthos International Airport, the main air gateway to the Greek island of Zakynthos.
  • B. ZUT
    ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
  • C. ZTU
    ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
  • D. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • E. ZBH
    ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b76a288190bb3608a5e3bfa212 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83ca243288190bb253f4d91701407 completed March 28, 2026, 8:40 p.m.
NEDg Description generation batch_69c83d5884a88190a22c0fb54f9731c7 completed March 28, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69c84071abb88190a2dadd57ff088f3d completed March 28, 2026, 8:56 p.m.
Created at: March 27, 2026, 3:45 p.m.