Triple

T5992335
Position Surface form Disambiguated ID Type / Status
Subject Kamal E133379 entity
Predicate appearsIn P795 FINISHED
Object Sugar Street E24795 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: Sugar Street | Statement: [Kamal, appearsIn, Sugar Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar Street
Context triple: [Kamal, appearsIn, Sugar Street]
  • A. Sugar Street chosen
    Sugar Street is a novel by Egyptian Nobel laureate Naguib Mahfouz that continues his Cairo Trilogy, depicting the evolving fortunes and political awakenings of a Cairene family across generations.
  • B. Love Street
    Love Street was a historic football stadium in Paisley, Scotland, best known as the long-time home of St Mirren F.C.
  • C. Walking Street
    Walking Street is Pattaya’s most famous nightlife and entertainment district, known for its neon-lit bars, clubs, restaurants, and bustling pedestrian-only atmosphere after dark.
  • D. Svobody Avenue
    Svobody Avenue is a central and historic boulevard in Lviv, Ukraine, known for its prominent cultural landmarks, shops, and public spaces.
  • E. Summer Street
    Summer Street is a major commercial thoroughfare in downtown Boston, Massachusetts, known for its retail shops, offices, and proximity to the Downtown Crossing area.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e8fd030819095a4f3b3d425ec21 completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1136125808190a363a00a60d8675a completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:05 p.m.