Triple

T4367385
Position Surface form Disambiguated ID Type / Status
Subject Genesee River E98808 entity
Predicate hasCityOnBank P7935 FINISHED
Object Geneseo, New York E392724 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: Geneseo, New York | Statement: [Genesee River, hasCityOnBank, Geneseo, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geneseo, New York
Context triple: [Genesee River, hasCityOnBank, Geneseo, New York]
  • A. Rensselaer, New York
    Rensselaer, New York is a small city on the east bank of the Hudson River, directly across from Albany, known as a key regional rail and transportation hub.
  • B. Geneseo chosen
    Geneseo is a small town in western New York known for its historic Main Street, rural setting, and the presence of the State University of New York at Geneseo.
  • C. Cortland, New York
    Cortland, New York is a small city in upstate New York known for its historic downtown, manufacturing heritage, and as the home of SUNY Cortland.
  • D. Ithaca
    Ithaca is a Greek island in the Ionian Sea, traditionally identified as the legendary home of Odysseus in Homer’s Odyssey.
  • E. Oswego, New York
    Oswego, New York is a small port city on the southeastern shore of Lake Ontario known for its maritime history and heavy lake-effect snowfall.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35201be7081908808e81634060f95 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627dd58dc819090d81177849fdc63 completed March 15, 2026, 3:30 a.m.
Created at: March 12, 2026, 11:17 p.m.