Triple

T21413803
Position Surface form Disambiguated ID Type / Status
Subject Delaware Route 299 E528245 entity
Predicate passesNear P416 FINISHED
Object Townsend, Delaware NE NERFINISHED

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: Townsend, Delaware | Statement: [Delaware Route 299, passesNear, Townsend, Delaware]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Townsend, Delaware
Context triple: [Delaware Route 299, passesNear, Townsend, Delaware]
  • A. Townsend, Delaware chosen
    Townsend, Delaware is a small town in New Castle County known for its rural character and proximity to the growing Middletown area.
  • B. Woodside, Delaware
    Woodside, Delaware is a small incorporated town located in Kent County in the central part of the state of Delaware.
  • C. Greenwood, Delaware
    Greenwood, Delaware is a small town in southern Delaware known for its rural character and location along major transportation routes in Sussex County.
  • D. Bridgeville, Delaware
    Bridgeville, Delaware is a small historic town in southwestern Delaware known for its agricultural roots and annual Apple-Scrapple Festival.
  • E. Milton, Delaware
    Milton, Delaware is a small historic town in Sussex County known for its preserved Victorian architecture and proximity to Delaware’s coastal attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b201ce1481908392c77e5ca40f5f completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:44 p.m.