Triple

T13876071
Position Surface form Disambiguated ID Type / Status
Subject Cresson, Pennsylvania E333585 entity
Predicate locatedNear P294 FINISHED
Object Ebensburg, Pennsylvania E838438 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: Ebensburg, Pennsylvania | Statement: [Cresson, Pennsylvania, locatedNear, Ebensburg, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebensburg, Pennsylvania
Context triple: [Cresson, Pennsylvania, locatedNear, Ebensburg, Pennsylvania]
  • A. Ebensburg, Pennsylvania chosen
    Ebensburg, Pennsylvania is a small borough that serves as the county seat and administrative center of Cambria County in the state of Pennsylvania.
  • B. Elysburg, Pennsylvania
    Elysburg, Pennsylvania is a small unincorporated community best known as the home of the Knoebels Amusement Resort.
  • C. Brownsville, Pennsylvania
    Brownsville, Pennsylvania is a historic borough along the Monongahela River known for its early role in American westward expansion and riverboat commerce.
  • D. Brownstown, Pennsylvania
    Brownstown, Pennsylvania is a small community in Lancaster County known for its rural character and proximity to the Conestoga River.
  • E. Canonsburg, Pennsylvania
    Canonsburg, Pennsylvania is a small borough near Pittsburgh known historically for its steel industry and its annual Fourth of July parade.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c7100b308190bdd5feaa116ee5fe completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.