Triple

T5920058
Position Surface form Disambiguated ID Type / Status
Subject Haight-Ashbury E131677 entity
Predicate hasStreet P959 FINISHED
Object Haight Street E277710 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: Haight Street | Statement: [Haight-Ashbury, hasStreet, Haight Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haight Street
Context triple: [Haight-Ashbury, hasStreet, Haight Street]
  • A. Haight Street chosen
    Haight Street is a famous San Francisco thoroughfare historically known as the heart of the 1960s counterculture and hippie movement.
  • B. Fillmore Street
    Fillmore Street is a major north–south thoroughfare in San Francisco known for its shopping, dining, and vibrant neighborhood atmosphere.
  • C. Vallejo Street
    Vallejo Street is a notable San Francisco street that runs through several neighborhoods, including the steep and scenic Russian Hill area.
  • D. Alameda Street
    Alameda Street is a major north–south thoroughfare in Los Angeles, California, running through downtown and several industrial and commercial districts.
  • E. San Francisco Street
    San Francisco Street is a historic thoroughfare within the Santa Fe Historic District, known for its traditional Southwestern architecture, cultural landmarks, and proximity to Santa Fe’s central plaza.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038019ea081908e652d74ff23f076 completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e39ea48c8190a968f81f0e26ccbf completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4 p.m.