Triple

T15073677
Position Surface form Disambiguated ID Type / Status
Subject Tekniska högskolan metro station E379942 entity
Predicate hasStationCode P1289 FINISHED
Object TEH
TEH is the station code for Tekniska högskolan, a Stockholm metro station serving the Royal Institute of Technology area.
 E1134795 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: TEH | Statement: [Tekniska högskolan metro station, hasStationCode, TEH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TEH
Context triple: [Tekniska högskolan metro station, hasStationCode, TEH]
  • A. TE
    TE was the IATA airline designator code used by Tasman Empire Airways Limited, the former international airline of New Zealand.
  • B. Te
    Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
  • C. HTE
    HTE is the National Rail station code for Hatch End railway station in northwest London, England.
  • D. TEE
    TEE is the national professional and technical organization representing engineers and overseeing engineering standards and practice in Greece.
  • E. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • 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: TEH
Triple: [Tekniska högskolan metro station, hasStationCode, TEH]
Generated description
TEH is the station code for Tekniska högskolan, a Stockholm metro station serving the Royal Institute of Technology area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TEH
Target entity description: TEH is the station code for Tekniska högskolan, a Stockholm metro station serving the Royal Institute of Technology area.
  • A. TE
    TE was the IATA airline designator code used by Tasman Empire Airways Limited, the former international airline of New Zealand.
  • B. Te
    Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
  • C. HTE
    HTE is the National Rail station code for Hatch End railway station in northwest London, England.
  • D. TEE
    TEE is the national professional and technical organization representing engineers and overseeing engineering standards and practice in Greece.
  • E. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cff69c8190b6252509c1aa7ebb completed May 9, 2026, 3:11 a.m.
NEDg Description generation batch_69fea6bf2558819082fc91fe8df6f3f5 completed May 9, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69fea8018a088190b6eba72a7e6196b2 completed May 9, 2026, 3:20 a.m.
Created at: April 10, 2026, 3:02 a.m.