Triple

T11728529
Position Surface form Disambiguated ID Type / Status
Subject SR E278838 entity
Predicate exampleForm P12789 FINISHED
Object SR 99 E151395 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: SR 99 | Statement: [SR, exampleForm, SR 99]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 99
Context triple: [SR, exampleForm, SR 99]
  • A. SR 99 chosen
    SR 99 is a major north–south state highway in Washington that runs through the Seattle metropolitan area and parallels Interstate 5.
  • B. SR 99
    SR 99 is a major north–south highway running through California’s Central Valley, connecting cities such as Bakersfield, Fresno, and Sacramento.
  • C. SR 91
    SR 91 is a state highway designation used for specific numbered routes within a U.S. state's road network.
  • D. Interstate 94
    Interstate 94 is a major east–west U.S. Interstate Highway running from Montana to Michigan, serving key Midwestern cities such as Minneapolis–Saint Paul, Milwaukee, and Chicago.
  • E. I-290
    I-290 is a major Interstate Highway in northeastern Illinois that serves as a key commuter route connecting Chicago with its western suburbs.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d80ef881908cab956787ab07fd completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f68e9b70d08190aa74e612947317b5 completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:41 p.m.