Triple

T5431116
Position Surface form Disambiguated ID Type / Status
Subject Södertörn University E121491 entity
Predicate abbreviation P43 FINISHED
Object SH
SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
 E518765 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: SH | Statement: [Södertörn University, abbreviation, SH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SH
Context triple: [Södertörn University, abbreviation, SH]
  • A. Sh1
    Sh1 is a Georgian mountain road route that traverses the Goderdzi Pass, connecting regions across the Lesser Caucasus.
  • B. SH8
    SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
  • C. SHF
    SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
  • D. SHAR
    SHAR is the commonly used abbreviation for the Satish Dhawan Space Centre, India’s primary spaceport operated by ISRO for satellite launches.
  • E. TH
    TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
  • 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: SH
Triple: [Södertörn University, abbreviation, SH]
Generated description
SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SH
Target entity description: SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
  • A. Sh1
    Sh1 is a Georgian mountain road route that traverses the Goderdzi Pass, connecting regions across the Lesser Caucasus.
  • B. SH8
    SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
  • C. SHF
    SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
  • D. SHAR
    SHAR is the commonly used abbreviation for the Satish Dhawan Space Centre, India’s primary spaceport operated by ISRO for satellite launches.
  • E. TH
    TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd883f982c8190bdf277e1ba85ff7b completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ac985e48190ba9610e0563c73ab completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b663b148190807d35421c911d74 completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3c2b9d04819081a946e9f68c4eb2 completed March 22, 2026, 12:47 a.m.
Created at: March 20, 2026, 2:06 p.m.