Triple

T3556728
Position Surface form Disambiguated ID Type / Status
Subject Leatherhead railway station E75236 entity
Predicate hasStationCode P1289 FINISHED
Object LHD
LHD is the National Rail station code for Leatherhead railway station in Surrey, England.
 E366585 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: LHD | Statement: [Leatherhead railway station, hasStationCode, LHD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LHD
Context triple: [Leatherhead railway station, hasStationCode, LHD]
  • A. LHM
    LHM is the station code for Lillehammer railway station in Norway.
  • B. LAD
    LAD is the standard three-letter abbreviation used for the Los Angeles Dodgers Major League Baseball team.
  • C. LAD
    LAD is the commonly used abbreviation for the Laboratory Astrophysics Division, a professional group focused on the study of astrophysical processes through laboratory-based research.
  • D. LH
    LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
  • E. LH
    The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
  • 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: LHD
Triple: [Leatherhead railway station, hasStationCode, LHD]
Generated description
LHD is the National Rail station code for Leatherhead railway station in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LHD
Target entity description: LHD is the National Rail station code for Leatherhead railway station in Surrey, England.
  • A. LHM
    LHM is the station code for Lillehammer railway station in Norway.
  • B. LAD
    LAD is the standard three-letter abbreviation used for the Los Angeles Dodgers Major League Baseball team.
  • C. LAD
    LAD is the commonly used abbreviation for the Laboratory Astrophysics Division, a professional group focused on the study of astrophysical processes through laboratory-based research.
  • D. LH
    LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
  • E. LH
    The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc057cc788190a6c4f3781f43abce completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bf40dac8190837053dd315303af completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c6e70a88190805de417a8740d64 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38cd2c540819083d3188c2dea7283 completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:20 p.m.