Triple

T2975022
Position Surface form Disambiguated ID Type / Status
Subject Lahaina E80373 entity
Predicate hasLandmark P105 FINISHED
Object Front Street E316041 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: Front Street | Statement: [Lahaina, hasLandmark, Front Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Front Street
Context triple: [Lahaina, hasLandmark, Front Street]
  • A. Front Street
    Front Street is one of Philadelphia’s oldest and most historically significant north–south thoroughfares, running along the city’s original waterfront and forming part of its foundational street grid.
  • B. Front Street
    Front Street is a notable thoroughfare in Hamilton, Bermuda, known as the city’s main waterfront street lined with shops, restaurants, and colonial-era buildings.
  • C. Front Street chosen
    Front Street is a historic oceanfront thoroughfare in Lahaina, Maui, famed for its shops, restaurants, nightlife, and views of the Pacific.
  • D. Front Street East
    Front Street East is a major historic thoroughfare in downtown Toronto, Canada, lined with heritage buildings, markets, and mixed-use developments.
  • E. Front Street West
    Front Street West is a major east–west thoroughfare in downtown Toronto lined with offices, entertainment venues, and historic industrial buildings.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99894bb0819099fa5cc5166c0eeb completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e2c498881909dc0349b56db5c87 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:58 p.m.