Triple

T7363253
Position Surface form Disambiguated ID Type / Status
Subject Loop 202 E169803 entity
Predicate connectsCity P4245 FINISHED
Object Tolleson, Arizona E273063 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: Tolleson, Arizona | Statement: [Loop 202, connectsCity, Tolleson, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tolleson, Arizona
Context triple: [Loop 202, connectsCity, Tolleson, Arizona]
  • A. Tolleson, Arizona chosen
    Tolleson, Arizona is a small suburban city in Maricopa County within the Phoenix metropolitan area, known for its industrial base and proximity to major transportation routes.
  • B. San Tan Valley, Arizona
    San Tan Valley, Arizona is a rapidly growing unincorporated community in the Phoenix metropolitan area known for its suburban residential developments and proximity to the San Tan Mountains.
  • C. Taylor, Arizona
    Taylor, Arizona is a small rural town in northeastern Arizona known for its agricultural roots and close-knit community.
  • D. Scottsdale, Arizona
    Scottsdale, Arizona is a resort city in the Sonoran Desert near Phoenix, known for its upscale tourism, golf courses, and vibrant arts and nightlife scenes.
  • E. Mesa, Arizona
    Mesa, Arizona is a large city in the Phoenix metropolitan area known for its desert climate, suburban communities, and role as a major spring training hub for Major League Baseball.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1603e1481909fb1dce2c9a7c577 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca5e06c8dc8190b7b25725fb0a96e8 completed March 30, 2026, 11:27 a.m.
Created at: March 27, 2026, 3:06 p.m.