Triple

T6369450
Position Surface form Disambiguated ID Type / Status
Subject Route 34 trolley E143309 entity
Predicate servesNeighborhood P82 FINISHED
Object Cedar Park E117291 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: Cedar Park | Statement: [Route 34 trolley, servesNeighborhood, Cedar Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedar Park
Context triple: [Route 34 trolley, servesNeighborhood, Cedar Park]
  • A. Cedar Park chosen
    Cedar Park is a residential neighborhood in West Philadelphia known for its historic Victorian homes, diverse community, and proximity to the University of Pennsylvania.
  • B. Cedar Park, Texas
    Cedar Park, Texas is a fast-growing suburban city in the Austin metropolitan area known for its family-friendly neighborhoods, quality schools, and proximity to major tech employers.
  • C. Duncanville
    Duncanville is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas.
  • D. Balch Springs
    Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • E. Pflugerville, Texas
    Pflugerville, Texas is a rapidly growing suburban city in the Austin metropolitan area known for its family-friendly neighborhoods, schools, and recreational amenities.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068265a7481908571be7ea4ac11b7 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6386f361c819098dbe01b0cb07b06 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:33 p.m.