Triple

T5617733
Position Surface form Disambiguated ID Type / Status
Subject T Third Street E147519 entity
Predicate runsAlong P416 FINISHED
Object Third Street unclear NED1 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: Third Street | Statement: [T Third Street, runsAlong, Third Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Third Street
Context triple: [T Third Street, runsAlong, Third Street]
  • A. Third Street
    Third Street is a popular shopping and dining corridor in Los Angeles’ Beverly Grove neighborhood, known for its trendy boutiques, cafes, and restaurants.
  • B. Third Street
    Third Street is a major thoroughfare in San Francisco that serves as a key corridor for public transit, including the Muni Metro T Third Street light rail line.
  • C. Second Street
    Second Street is a major north–south thoroughfare in Philadelphia that runs through several historic and commercial neighborhoods, including parts of Old City and Northern Liberties.
  • D. Second Street
    Second Street is a song featured in the musical film "Newsies," known for its association with the number "Carry the Banner."
  • E. 3rd Street
    3rd Street is a notable thoroughfare running through the Old City historic district, known for its preserved architecture, cultural landmarks, and local businesses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021dc04c081909f36e40394e7c955 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf6a59448190ad187cc1924fd625 completed March 23, 2026, 4:19 a.m.
Created at: March 22, 2026, 3:40 p.m.