Triple

T3645222
Position Surface form Disambiguated ID Type / Status
Subject Shrub Oak E77282 entity
Predicate nearbyBodyOfWater P1489 FINISHED
Object Mohegan Lake E57545 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: Mohegan Lake | Statement: [Shrub Oak, nearbyBodyOfWater, Mohegan Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mohegan Lake
Context triple: [Shrub Oak, nearbyBodyOfWater, Mohegan Lake]
  • A. Mohegan Lake chosen
    Mohegan Lake is a residential hamlet and census-designated place in northern Westchester County, New York, centered around its namesake lake.
  • B. Saratoga Lake
    Saratoga Lake is a popular recreational lake in eastern New York known for boating, fishing, and its proximity to the city of Saratoga Springs.
  • C. Saranac Lake
    Saranac Lake is a historic village and resort community in northern New York known for its scenic lakes, outdoor recreation, and role as a former tuberculosis treatment center.
  • D. Oneida Lake
    Oneida Lake is a large, shallow lake in central New York known for its recreational fishing, boating, and role as an important link in the region’s waterways.
  • E. Blue Mountain Lake, New York
    Blue Mountain Lake, New York is a small hamlet in the central Adirondacks known for its scenic mountain lake setting and historic resorts.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35da84c81908950de92ba171fa3 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f35985081909a499f9c1668b589 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.