Triple

T35545816
Position Surface form Disambiguated ID Type / Status
Subject Farmington, Arkansas E1027209 entity
Predicate hasNearbyUniversityCenter P6776 FINISHED
Object University of Arkansas in Fayetteville NE NERFINISHED

How this triple was built (2 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: University of Arkansas in Fayetteville | Statement: [Farmington, Arkansas, hasNearbyUniversityCenter, University of Arkansas in Fayetteville]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyUniversityCenter
Context triple: [Farmington, Arkansas, hasNearbyUniversityCenter, University of Arkansas in Fayetteville]
  • A. hasNearbyInstitution chosen
    Indicates that one entity is located close to or in the immediate vicinity of an institution.
  • B. hasNearbyInstitutionCluster
    Indicates that an entity is located close to a concentrated group of related institutions (such as schools, hospitals, or research centers).
  • C. campusProximity
    Indicates that one entity is located near, adjacent to, or within a short distance of a campus associated with the other entity.
  • D. hasNearbyInstitutionType
    Indicates that an entity has at least one institution of a specified type located in its nearby geographic vicinity.
  • E. adjacentToCampusOf
    Indicates that one entity is located next to or directly bordering the campus area of another entity.
  • F. None of above.

Provenance (3 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_69f76e008ba08190927acd8e5e0344c8 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a001cc0ff588190bb7c8a6fd427d02b completed May 10, 2026, 5:50 a.m.
PD Predicate disambiguation batch_6a001b3ea18c8190aeda7a32b2697490 completed May 10, 2026, 5:44 a.m.
Created at: May 3, 2026, 4:04 p.m.