Triple

T8236893
Position Surface form Disambiguated ID Type / Status
Subject Northeast-10 Conference E192432 entity
Predicate shortName P43 FINISHED
Object NE10
NE10 is the commonly used abbreviation for the Northeast-10 Conference, an NCAA Division II collegiate athletic conference in the northeastern United States.
 E720806 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: NE10 | Statement: [Northeast-10 Conference, shortName, NE10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NE10
Context triple: [Northeast-10 Conference, shortName, NE10]
  • A. N106
    N106 is a French national road that serves as a key route connecting the town of Alès to other parts of southern France.
  • B. ENEV
    ENEV is the ICAO airport code for Harstad/Narvik Airport, Evenes in Norway.
  • C. ND-100
    ND-100 is a 16-bit minicomputer series developed by Norwegian company Norsk Data, widely used in the 1970s and 1980s for technical and scientific computing.
  • D. NEI
    NEI is a U.S. government institute within the National Institutes of Health that conducts and supports research on eye diseases and vision.
  • E. NEOB
    NEOB is a U.S. federal government office building in Washington, D.C., that houses various agencies and staff of the Executive Office of the President.
  • 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: NE10
Triple: [Northeast-10 Conference, shortName, NE10]
Generated description
NE10 is the commonly used abbreviation for the Northeast-10 Conference, an NCAA Division II collegiate athletic conference in the northeastern United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NE10
Target entity description: NE10 is the commonly used abbreviation for the Northeast-10 Conference, an NCAA Division II collegiate athletic conference in the northeastern United States.
  • A. N106
    N106 is a French national road that serves as a key route connecting the town of Alès to other parts of southern France.
  • B. ENEV
    ENEV is the ICAO airport code for Harstad/Narvik Airport, Evenes in Norway.
  • C. ND-100
    ND-100 is a 16-bit minicomputer series developed by Norwegian company Norsk Data, widely used in the 1970s and 1980s for technical and scientific computing.
  • D. NEI
    NEI is a U.S. government institute within the National Institutes of Health that conducts and supports research on eye diseases and vision.
  • E. NEOB
    NEOB is a U.S. federal government office building in Washington, D.C., that houses various agencies and staff of the Executive Office of the President.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783929c081909db1182947755bae completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34fb069c8190965d69fae908482e completed April 1, 2026, 3:08 p.m.
NEDg Description generation batch_69cd37a47f3c81909491e9b0316c32f0 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ecc8d68819099932b1ecefc0d36 completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:47 p.m.