Triple

T13028913
Position Surface form Disambiguated ID Type / Status
Subject Head of the Schuylkill Regatta E326379 entity
Predicate alsoKnownAs P39 FINISHED
Object HOSR
HOSR is a major annual rowing regatta held on Philadelphia’s Schuylkill River that attracts competitive crews from around the world.
 E1016871 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: HOSR | Statement: [Head of the Schuylkill Regatta, alsoKnownAs, HOSR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HOSR
Context triple: [Head of the Schuylkill Regatta, alsoKnownAs, HOSR]
  • A. HÖS
    HÖS is the German vehicle registration code assigned to the Erlangen-Höchstadt district in Bavaria.
  • B. HOR
    HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
  • C. HOR
    HOR is the National Rail station code for Horley railway station in Surrey, England.
  • D. HoR
    HoR is a common abbreviation for the House of Representatives, the lower chamber of a bicameral legislature in several countries, including the United States.
  • 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: HOSR
Triple: [Head of the Schuylkill Regatta, alsoKnownAs, HOSR]
Generated description
HOSR is a major annual rowing regatta held on Philadelphia’s Schuylkill River that attracts competitive crews from around the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HOSR
Target entity description: HOSR is a major annual rowing regatta held on Philadelphia’s Schuylkill River that attracts competitive crews from around the world.
  • A. HÖS
    HÖS is the German vehicle registration code assigned to the Erlangen-Höchstadt district in Bavaria.
  • B. HOR
    HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
  • C. HOR
    HOR is the National Rail station code for Horley railway station in Surrey, England.
  • D. HoR
    HoR is a common abbreviation for the House of Representatives, the lower chamber of a bicameral legislature in several countries, including the United States.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efd18308190877b3269403b36e2 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c12191b08190abf4123995116ebc completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c562d10c8190b76dbf50a0101bae completed May 3, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69f6c635fc888190891a79da9d7984a0 completed May 3, 2026, 3:51 a.m.
Created at: April 9, 2026, 8:54 p.m.