Triple

T4608086
Position Surface form Disambiguated ID Type / Status
Subject Loop 202 E100485 entity
Predicate connectsTo P845 FINISHED
Object Loop 101 E100484 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: Loop 101 | Statement: [Loop 202, connectsTo, Loop 101]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loop 101
Context triple: [Loop 202, connectsTo, Loop 101]
  • A. Loop 101 chosen
    Loop 101 is a major freeway encircling much of the Phoenix metropolitan area, connecting numerous suburbs and serving as a key route for regional traffic.
  • B. A Loop
    A Loop is a modern streetcar route in Portland, Oregon, that provides circulator service through the central city and adjacent neighborhoods as part of the Portland Streetcar system.
  • C. Loop 12
    Loop 12 is a major circumferential highway in Dallas, Texas, that serves as an important connector between various neighborhoods, freeways, and arterial roads within the city.
  • D. Loop 303
    Loop 303 is a major freeway in the Phoenix metropolitan area that serves as part of the region’s outer beltway system, facilitating circumferential travel and suburban growth.
  • E. Loop 202
    Loop 202 is a major freeway in the Phoenix, Arizona metropolitan area that forms part of the region’s beltway system, helping route traffic around the city.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599debdc81909d11d0e871c666bb completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa789cdc8190add02a5970f9a0b6 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.