Triple

T18981447
Position Surface form Disambiguated ID Type / Status
Subject City of Hill Country Village E464435 entity
Predicate locatedNear P294 FINISHED
Object Loop 1604 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: Loop 1604 | Statement: [City of Hill Country Village, locatedNear, Loop 1604]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loop 1604
Context triple: [City of Hill Country Village, locatedNear, Loop 1604]
  • A. Loop 1604 chosen
    Loop 1604 is a major highway encircling much of San Antonio, Texas, serving as a key route for regional traffic and access to suburban districts and commercial areas.
  • B. Loop 336
    Loop 336 is a major circumferential roadway that serves as a key traffic artery around the city of Conroe, Texas.
  • C. Loop 820
    Loop 820 is a major beltway highway encircling much of the Fort Worth, Texas metropolitan area, serving as a key route for regional traffic and suburban access.
  • D. Loop 286
    Loop 286 is a state highway loop that serves as a beltway around the city of Paris in Lamar County, Texas.
  • E. Loop 323
    Loop 323 is a primary circumferential highway that serves as the main loop route around the city of Tyler, Texas.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65d27548190b86d4c5f5b51d809 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.