Triple

T6998726
Position Surface form Disambiguated ID Type / Status
Subject California Department of State Hospitals E162280 entity
Predicate hasAbbreviation P43 FINISHED
Object DSH
DSH is the acronym for the California Department of State Hospitals, the state agency that oversees and operates California’s public psychiatric hospitals.
E634504 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: DSH | Statement: [California Department of State Hospitals, hasAbbreviation, DSH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DSH
Context triple: [California Department of State Hospitals, hasAbbreviation, DSH]
  • A. DSY
    DSY is the National Rail station code for Daisy Hill railway station in Greater Manchester, England.
  • B. D.S.D.
    D.S.D. is the standard legal abbreviation for the United States District Court for the District of South Dakota, a federal trial court within the Eighth Circuit.
  • C. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • D. DSI
    DSI is the Deutsches SOFIA Institut, a German research institute dedicated to supporting and conducting astronomical observations with the SOFIA airborne observatory.
  • E. DSO
    DSO is the commonly used abbreviation for the Detroit Symphony Orchestra, one of the major American orchestras based in Detroit, Michigan.
  • 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: DSH
Triple: [California Department of State Hospitals, hasAbbreviation, DSH]
Generated description
DSH is the acronym for the California Department of State Hospitals, the state agency that oversees and operates California’s public psychiatric hospitals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DSH
Target entity description: DSH is the acronym for the California Department of State Hospitals, the state agency that oversees and operates California’s public psychiatric hospitals.
  • A. DSY
    DSY is the National Rail station code for Daisy Hill railway station in Greater Manchester, England.
  • B. D.S.D.
    D.S.D. is the standard legal abbreviation for the United States District Court for the District of South Dakota, a federal trial court within the Eighth Circuit.
  • C. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • D. DSI
    DSI is the Deutsches SOFIA Institut, a German research institute dedicated to supporting and conducting astronomical observations with the SOFIA airborne observatory.
  • E. DSO
    DSO is the commonly used abbreviation for the Detroit Symphony Orchestra, one of the major American orchestras based in Detroit, Michigan.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbf083b481909dd30e28e908dfdf completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a2c510c8190b7c86f8b399388ae completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b1d881481908ef5a6614246ca1e completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76be95ecc8190a57ff197f236d434 completed March 28, 2026, 5:49 a.m.
Created at: March 27, 2026, 2:33 p.m.