Triple

T21088195
Position Surface form Disambiguated ID Type / Status
Subject Lanchester Prize E519558 entity
Predicate formerPresenter P83 FINISHED
Object ORSA
ORSA (the Operations Research Society of America) was a professional society dedicated to advancing the field and practice of operations research in the United States.
 E1466551 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: ORSA | Statement: [Lanchester Prize, formerPresenter, ORSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ORSA
Context triple: [Lanchester Prize, formerPresenter, ORSA]
  • A. OR-1
    OR-1 is the commonly used shorthand for Oregon's 1st congressional district, a U.S. House of Representatives district in northwestern Oregon.
  • B. ORS
    ORS is the commonly used abbreviation for the Oregon Revised Statutes, the codified laws governing the U.S. state of Oregon.
  • C. OR-5
    OR-5 is the NATO-standard enlisted rank level corresponding to mid-grade non-commissioned officers such as sergeants in various armed forces.
  • D. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • E. OAR
    OAR is the commonly used abbreviation for the Oregon Administrative Rules, which comprise the codified regulations issued by Oregon’s state agencies.
  • 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: ORSA
Triple: [Lanchester Prize, formerPresenter, ORSA]
Generated description
ORSA (the Operations Research Society of America) was a professional society dedicated to advancing the field and practice of operations research in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ORSA
Target entity description: ORSA (the Operations Research Society of America) was a professional society dedicated to advancing the field and practice of operations research in the United States.
  • A. OR-1
    OR-1 is the commonly used shorthand for Oregon's 1st congressional district, a U.S. House of Representatives district in northwestern Oregon.
  • B. ORS
    ORS is the commonly used abbreviation for the Oregon Revised Statutes, the codified laws governing the U.S. state of Oregon.
  • C. OR-5
    OR-5 is the NATO-standard enlisted rank level corresponding to mid-grade non-commissioned officers such as sergeants in various armed forces.
  • D. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • E. OAR
    OAR is the commonly used abbreviation for the Oregon Administrative Rules, which comprise the codified regulations issued by Oregon’s state agencies.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094cebe08190bb10f51a45c244ec completed April 21, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a560a508190b4e69a73e6302836 completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095c58689481909fb5ab261870e7e6 completed May 17, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a095d21b59881909898c9581fc21ba7 completed May 17, 2026, 6:16 a.m.
Created at: April 16, 2026, 2:50 p.m.