Triple

T11687666
Position Surface form Disambiguated ID Type / Status
Subject Keren Hayesod Street E277783 entity
Predicate connectsTo P845 FINISHED
Object Agran Street E488325 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: Agran Street | Statement: [Keren Hayesod Street, connectsTo, Agran Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agran Street
Context triple: [Keren Hayesod Street, connectsTo, Agran Street]
  • A. Agron Street chosen
    Agron Street is a central street in Jerusalem known for its proximity to major cultural, governmental, and historic sites in the city center.
  • B. Dame Street
    Dame Street is a major thoroughfare in central Dublin, Ireland, known for its historic architecture, commercial activity, and role as a key route through the city’s civic and cultural quarter.
  • C. Pottinger Street
    Pottinger Street is a historic, steeply stepped street in Hong Kong’s Central District, known for its stone slab pavement and traditional market stalls.
  • D. Nádor Street
    Nádor Street is a central street in Budapest’s historic District V, known for its proximity to key government buildings, cultural institutions, and the Danube riverfront.
  • E. Bauman Street
    Bauman Street is a central pedestrian thoroughfare in Kazan, Russia, known for its historic architecture, shops, cafes, and cultural attractions.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4654be881909bd0256cf18e25de completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035428e608190b8bb41dabda044d1 completed May 10, 2026, 7:35 a.m.
Created at: April 8, 2026, 9:40 p.m.