Triple

T16434070
Position Surface form Disambiguated ID Type / Status
Subject James Street railway station E399138 entity
Predicate stationCode P1289 FINISHED
Object JSM
JSM is the station code for James Street railway station, a Merseyrail underground station serving Liverpool’s city centre in England.
 E1213466 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: JSM | Statement: [James Street railway station, stationCode, JSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JSM
Context triple: [James Street railway station, stationCode, JSM]
  • A. JASA
    JASA is a leading peer-reviewed scientific journal that publishes research on the science and applications of acoustics.
  • B. MSJ
    MSJ is the IATA airport code for Misawa Air Base, a joint U.S.–Japan military airfield in Misawa, Aomori Prefecture, Japan.
  • C. Journal of the American Statistical Association
    The Journal of the American Statistical Association is a leading peer-reviewed scholarly journal covering theoretical and applied statistics across a wide range of scientific disciplines.
  • D. JCMC
    JCMC is a regional hospital and healthcare facility located in Johnson City, Tennessee.
  • E. JMSB
    JMSB is a leading Canadian business school that is part of Concordia University in Montreal, offering undergraduate and graduate programs in business and management.
  • 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: JSM
Triple: [James Street railway station, stationCode, JSM]
Generated description
JSM is the station code for James Street railway station, a Merseyrail underground station serving Liverpool’s city centre in England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JSM
Target entity description: JSM is the station code for James Street railway station, a Merseyrail underground station serving Liverpool’s city centre in England.
  • A. JASA
    JASA is a leading peer-reviewed scientific journal that publishes research on the science and applications of acoustics.
  • B. MSJ
    MSJ is the IATA airport code for Misawa Air Base, a joint U.S.–Japan military airfield in Misawa, Aomori Prefecture, Japan.
  • C. Journal of the American Statistical Association
    The Journal of the American Statistical Association is a leading peer-reviewed scholarly journal covering theoretical and applied statistics across a wide range of scientific disciplines.
  • D. JCMC
    JCMC is a regional hospital and healthcare facility located in Johnson City, Tennessee.
  • E. JMSB
    JMSB is a leading Canadian business school that is part of Concordia University in Montreal, offering undergraduate and graduate programs in business and management.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba01a1c8190b5a4700e2364ae63 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045872a688190bcab27c6a2b952cd completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a00464f264081908faef31ef15f378a completed May 10, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_6a004767d1c88190814e83f09383e874 completed May 10, 2026, 8:52 a.m.
Created at: April 10, 2026, 5:10 a.m.