Triple

T2710317
Position Surface form Disambiguated ID Type / Status
Subject N Judah E59842 entity
Predicate connectsWith P37 FINISHED
Object T Third Street E147519 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: T Third Street | Statement: [N Judah, connectsWith, T Third Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T Third Street
Context triple: [N Judah, connectsWith, T Third Street]
  • A. T Third Street chosen
    T Third Street is a San Francisco Muni light rail line that runs along the city’s eastern waterfront, serving neighborhoods from Visitacion Valley through Mission Bay to downtown.
  • B. 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.
  • C. 33rd Street
    33rd Street is a major east–west thoroughfare in Midtown Manhattan, New York City, known for running through the busy Penn Station area and surrounding commercial district.
  • D. 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.
  • E. 13th Street
    13th Street is a roadway that serves as a primary access point to the 13th Street station.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda7771a4819081904bd6b818b81b completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf820e6c8190bc37219eadd57e86 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.