Triple

T21057805
Position Surface form Disambiguated ID Type / Status
Subject Södertörn University E518765 entity
Predicate abbreviation P43 FINISHED
Object SH NE NERFINISHED

How this triple was built (2 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. SH chosen
    SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
  • B. SH
    SH is the vehicle registration code for the Swiss canton of Schaffhausen.
  • C. Sh1
    Sh1 is a Georgian mountain road route that traverses the Goderdzi Pass, connecting regions across the Lesser Caucasus.
  • D. SHO
    SHO is the IATA airport code for King Mswati III International Airport in Eswatini.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd81434c8190aedfddf937f82322 completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:37 p.m.