Triple

T12051251
Position Surface form Disambiguated ID Type / Status
Subject Helensburgh Upper railway station E286919 entity
Predicate stationCode P1289 FINISHED
Object HLU
HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
 E961600 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: HLU | Statement: [Helensburgh Upper railway station, stationCode, HLU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HLU
Context triple: [Helensburgh Upper railway station, stationCode, HLU]
  • A. HLF
    HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
  • B. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • C. HLC
    HLC is the three-letter National Rail station code for Helensburgh Central railway station in Scotland.
  • D. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • E. HOL
    HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
  • 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: HLU
Triple: [Helensburgh Upper railway station, stationCode, HLU]
Generated description
HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HLU
Target entity description: HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
  • A. HLF
    HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
  • B. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • C. HLC
    HLC is the three-letter National Rail station code for Helensburgh Central railway station in Scotland.
  • D. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • E. HOL
    HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
NEDg Description generation batch_69f53d95d4fc8190b5f4e460646bec2a completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564b826ec819098906cf735e45093 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.