Triple

T3587128
Position Surface form Disambiguated ID Type / Status
Subject Green Street (San Francisco) E75936 entity
Predicate hasName P744 FINISHED
Object Green Street E75936 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: Green Street | Statement: [Green Street (San Francisco), hasName, Green Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Street
Context triple: [Green Street (San Francisco), hasName, Green Street]
  • A. Green Street chosen
    Green Street is a notable thoroughfare running through San Francisco’s Russian Hill neighborhood, known for its steep grades and classic city views.
  • B. Green Street
    Green Street is a 2005 British-American drama film about football hooliganism, starring Elijah Wood as an American who becomes involved with a violent West Ham United firm.
  • C. Greenstreet
    Greenstreet is a surname most famously associated with Sydney Greenstreet, the British character actor known for his roles in classic films like "The Maltese Falcon" and "Casablanca."
  • D. Love Street
    Love Street was a historic football stadium in Paisley, Scotland, best known as the long-time home of St Mirren F.C.
  • E. Tasker Street
    Tasker Street is a roadway in South Philadelphia that serves as one of the streets accessible from the Tasker–Morris subway 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc13a11608190a23d76efc1b50e3c completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4030088548190adbb029be1caeb81 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:22 p.m.