Triple

T15787324
Position Surface form Disambiguated ID Type / Status
Subject Mermaid Inn E382770 entity
Predicate streetAddress P606 FINISHED
Object Mermaid Street E383085 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: Mermaid Street | Statement: [Mermaid Inn, streetAddress, Mermaid Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mermaid Street
Context triple: [Mermaid Inn, streetAddress, Mermaid Street]
  • A. Mermaid Street chosen
    Mermaid Street is a famously picturesque, cobbled lane in the historic town of Rye, England, known for its medieval buildings and charming, well-preserved character.
  • B. Grey Street
    Grey Street is a renowned historic thoroughfare in Newcastle upon Tyne, celebrated for its elegant Georgian architecture and cultural significance.
  • C. Beretania Street
    Beretania Street is a major thoroughfare in Honolulu, Hawaii, running through the downtown and urban core and lined with government buildings, shops, and historic sites.
  • D. Pond Street
    Pond Street is a central street in Sheffield, England, located near major transport links and city landmarks.
  • E. Himmel Street
    Himmel Street is the fictional working-class German street in the town of Molching where much of Markus Zusak’s novel "The Book Thief" takes place.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0540380448190a025338f0e62e6d1 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a6365c8190833431cf079b21fb completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.