Triple

T4828534
Position Surface form Disambiguated ID Type / Status
Subject Athens Public Transit E107885 entity
Predicate servesCity P82 FINISHED
Object Athens, Ohio E19616 NE FINISHED

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: Athens, Ohio | Statement: [Athens Public Transit, servesCity, Athens, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athens, Ohio
Context triple: [Athens Public Transit, servesCity, Athens, Ohio]
  • A. Athens, Ohio chosen
    Athens, Ohio is a small Appalachian college town in southeastern Ohio best known as the home of Ohio University and for its historic, hilly setting along the Hocking River.
  • B. Oxford, Ohio
    Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
  • C. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • D. Cambridge, Ohio
    Cambridge, Ohio is a small city in eastern Ohio known as a regional crossroads and historic community in Guernsey County.
  • E. Springfield, Ohio
    Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc3dc0481909c8884dbe5043a71 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89d3358c8190bb85ec1835a9f095 completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:24 p.m.