Triple

T12397326
Position Surface form Disambiguated ID Type / Status
Subject Grimsby Town railway station E296150 entity
Predicate hasStationCode P1289 FINISHED
Object GMB
GMB is the National Rail station code assigned to Grimsby Town railway station in Lincolnshire, England.
 E982454 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: GMB | Statement: [Grimsby Town railway station, hasStationCode, GMB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GMB
Context triple: [Grimsby Town railway station, hasStationCode, GMB]
  • A. GMB
    GMB is the three-letter ISO 3166-1 alpha-3 country code assigned to The Gambia.
  • B. GMB
    GMB is a British weekday morning television news and talk show broadcast on ITV, featuring news, interviews, and entertainment segments.
  • C. Google My Business
    Google My Business is a free tool from Google that lets businesses manage how their information appears across Google services, including Search and Maps, to improve visibility and customer engagement.
  • D. Bluepages
    Bluepages is the introductory section of The Bluebook that provides simplified legal citation rules tailored for practitioners, students, and non-academic legal writing.
  • E. OGLE
    OGLE (Optical Gravitational Lensing Experiment) is a long-term astronomical survey focused on detecting dark matter, exoplanets, and variable stars through gravitational microlensing and photometric monitoring.
  • 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: GMB
Triple: [Grimsby Town railway station, hasStationCode, GMB]
Generated description
GMB is the National Rail station code assigned to Grimsby Town railway station in Lincolnshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GMB
Target entity description: GMB is the National Rail station code assigned to Grimsby Town railway station in Lincolnshire, England.
  • A. GMB
    GMB is the three-letter ISO 3166-1 alpha-3 country code assigned to The Gambia.
  • B. GMB
    GMB is a British weekday morning television news and talk show broadcast on ITV, featuring news, interviews, and entertainment segments.
  • C. Google My Business
    Google My Business is a free tool from Google that lets businesses manage how their information appears across Google services, including Search and Maps, to improve visibility and customer engagement.
  • D. Bluepages
    Bluepages is the introductory section of The Bluebook that provides simplified legal citation rules tailored for practitioners, students, and non-academic legal writing.
  • E. OGLE
    OGLE (Optical Gravitational Lensing Experiment) is a long-term astronomical survey focused on detecting dark matter, exoplanets, and variable stars through gravitational microlensing and photometric monitoring.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd448f08190af425a569d7ed158 completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63480a8bc8190885130f63a3ec761 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f638cbb6dc8190a80ffe3430337855 completed May 2, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69f6397a3458819095b94ae7f9d5f106 completed May 2, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:54 p.m.