Triple

T8557531
Position Surface form Disambiguated ID Type / Status
Subject Blue Line (DART) E202609 entity
Predicate hasStation P35 FINISHED
Object Lake Highlands Station E743305 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: Lake Highlands Station | Statement: [Blue Line (DART), hasStation, Lake Highlands Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Highlands Station
Context triple: [Blue Line (DART), hasStation, Lake Highlands Station]
  • A. Lake Highlands chosen
    Lake Highlands is a residential neighborhood in northeast Dallas, Texas, known for its rolling terrain, numerous parks, and strong community identity.
  • B. Altamonte Springs
    Altamonte Springs is a suburban city in the Orlando metropolitan area of Central Florida, known for its residential communities, shopping centers, and recreational amenities.
  • C. Sunny Hills, Florida
    Sunny Hills, Florida is an unincorporated residential community and planned development located in rural Washington County in the Florida Panhandle.
  • D. Laurel Hill, Florida
    Laurel Hill, Florida is a small rural city in the Florida Panhandle known for its agricultural character and close-knit community.
  • E. Miami Lakes
    Miami Lakes is a suburban town in Miami-Dade County, Florida, known for its master-planned layout, extensive lakes, and residential communities.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe946d1408190adc7dfb7b2173f9d completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea868de6881908e87270a1fea0e4b completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:20 p.m.