Triple

T20135837
Position Surface form Disambiguated ID Type / Status
Subject Bergshamra metro station E491022 entity
Predicate hasStationCode P1289 FINISHED
Object BHM
BHM is the station code used to identify Bergshamra metro station in the Stockholm metro system.
E1413789 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: BHM | Statement: [Bergshamra metro station, hasStationCode, BHM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BHM
Context triple: [Bergshamra metro station, hasStationCode, BHM]
  • A. BHM
    BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
  • B. BHM
    BHM is the three-letter IATA airport code for Birmingham–Shuttlesworth International Airport serving Birmingham, Alabama.
  • C. bhm
    bhm is the ISO 639-3 language code assigned to the Bathari language, a critically endangered Modern South Arabian language spoken in Oman.
  • D. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • E. YBHM
    YBHM is the ICAO airport code for Hamilton Island Airport, a key gateway to Queensland’s Whitsunday Islands and the Great Barrier Reef in Australia.
  • 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: BHM
Triple: [Bergshamra metro station, hasStationCode, BHM]
Generated description
BHM is the station code used to identify Bergshamra metro station in the Stockholm metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BHM
Target entity description: BHM is the station code used to identify Bergshamra metro station in the Stockholm metro system.
  • A. BHM
    BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
  • B. BHM
    BHM is the three-letter IATA airport code for Birmingham–Shuttlesworth International Airport serving Birmingham, Alabama.
  • C. bhm
    bhm is the ISO 639-3 language code assigned to the Bathari language, a critically endangered Modern South Arabian language spoken in Oman.
  • D. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • E. YBHM
    YBHM is the ICAO airport code for Hamilton Island Airport, a key gateway to Queensland’s Whitsunday Islands and the Great Barrier Reef in Australia.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66766e46c81908721fd47066dc9f8 completed April 20, 2026, 5:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082de255b08190b50a3cb5e4da4973 completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082ef2cf208190aea9cd29b15b35dd completed May 16, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_6a0830ccfdd881909cbf1c3fd2342821 completed May 16, 2026, 8:54 a.m.
Created at: April 11, 2026, 11:32 p.m.