Triple

T1808305
Position Surface form Disambiguated ID Type / Status
Subject SCORE mentoring program E40271 entity
Predicate operatedBy P86 FINISHED
Object SCORE
SCORE is a U.S. nonprofit organization of volunteer business mentors that provides free counseling, resources, and education to small business owners and entrepreneurs.
 E200688 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: SCORE | Statement: [SCORE mentoring program, operatedBy, SCORE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCORE
Context triple: [SCORE mentoring program, operatedBy, SCORE]
  • A. SC
    SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • B. PTS
    PTS is a set of security standards defined by the PCI Security Standards Council for protecting the design and operation of payment card-accepting devices and terminals.
  • C. SCO
    SCO is a Eurasian political, economic, and security alliance led by China and Russia that promotes regional cooperation among its member states.
  • D. SCO
    SCO is the official FIFA country code used to represent the Scotland national football team in international competitions and records.
  • E. Sk
    Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
  • 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: SCORE
Triple: [SCORE mentoring program, operatedBy, SCORE]
Generated description
SCORE is a U.S. nonprofit organization of volunteer business mentors that provides free counseling, resources, and education to small business owners and entrepreneurs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCORE
Target entity description: SCORE is a U.S. nonprofit organization of volunteer business mentors that provides free counseling, resources, and education to small business owners and entrepreneurs.
  • A. SC
    SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • B. PTS
    PTS is a set of security standards defined by the PCI Security Standards Council for protecting the design and operation of payment card-accepting devices and terminals.
  • C. SCO
    SCO is a Eurasian political, economic, and security alliance led by China and Russia that promotes regional cooperation among its member states.
  • D. SCO
    SCO is the official FIFA country code used to represent the Scotland national football team in international competitions and records.
  • E. Sk
    Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6599f35c8190aefd20773365fdcf completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e137bc81908294dd6b67789526 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb69d10188190b78bece656249ecd completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8c122e881908f0640edc5aaf305 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.