Triple

T17101644
Position Surface form Disambiguated ID Type / Status
Subject River Lossie E414993 entity
Predicate flowsThrough P225 FINISHED
Object Elgin E141361 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: Elgin | Statement: [River Lossie, flowsThrough, Elgin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elgin
Context triple: [River Lossie, flowsThrough, Elgin]
  • A. Elgin chosen
    Elgin is a historic town in Moray, northeast Scotland, known for its medieval cathedral ruins and regional administrative and legal significance.
  • B. Elgin
    Elgin is one of the central street-dancing protagonists in the 2004 hip-hop dance film "You Got Served."
  • C. Elgin, Illinois
    Elgin, Illinois is a city in the northwest suburbs of Chicago known for its historic architecture, diverse population, and location along the Fox River.
  • D. Montrose
    Montrose is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Northwest Side.
  • E. Montrose
    Montrose is a residential neighborhood within the town of Wakefield in Middlesex County, Massachusetts.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc239a088190a776fe0f4361ffc7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01482597e88190859b35b1c4aa8e84 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:35 a.m.