Triple

T10252991
Position Surface form Disambiguated ID Type / Status
Subject The Parkside Lodge E240389 entity
Predicate city P40 FINISHED
Object Buffalo E22106 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: Buffalo | Statement: [The Parkside Lodge, city, Buffalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buffalo
Context triple: [The Parkside Lodge, city, Buffalo]
  • A. Buffalo chosen
    Buffalo is a major city in western New York State known for its industrial history, proximity to Niagara Falls, and namesake Buffalo-style chicken wings.
  • B. Rochester
    Rochester is a rural town in northern Victoria, Australia, known for its agricultural community and location near the Campaspe River.
  • C. Rochester
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • D. Rochester
    Rochester is a historic cathedral city and former market town in Kent, England, known for its Norman castle, Romanesque cathedral, and strong associations with the novelist Charles Dickens.
  • E. Rochester
    Rochester is a small historic town in southeastern Massachusetts known for its rural character and New England charm.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23f106c81909c1ce20a2ffa86ea completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74ff21edc8190b8b4a6967510a869 completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:29 a.m.