Triple

T5092490
Position Surface form Disambiguated ID Type / Status
Subject Sparkman Wharf E114783 entity
Predicate locatedIn P40 FINISHED
Object Channelside district E114786 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: Channelside district | Statement: [Sparkman Wharf, locatedIn, Channelside district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channelside district
Context triple: [Sparkman Wharf, locatedIn, Channelside district]
  • A. Channel District chosen
    The Channel District is a revitalized urban neighborhood in Tampa, Florida, known for its waterfront location, modern residential developments, and proximity to the city’s cruise port and entertainment venues.
  • B. Opportunity District
    Opportunity District is one of the three main themed zones at Expo 2020 Dubai, focused on social impact, unlocking human potential, and sustainable development initiatives.
  • C. Hub District
    Hub District is an administrative district in Pakistan’s Balochistan province, located adjacent to the western edge of Karachi.
  • D. Co Do District
    Co Do District is a rural administrative district of Cần Thơ city in Vietnam’s Mekong Delta region.
  • E. Alphabet District
    The Alphabet District is a historic neighborhood in northwest Portland, Oregon, known for its charming early-20th-century architecture, tree-lined streets, and popular shopping and dining corridors.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd754369708190bf4e171a904a19e1 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb14d1ea88190b8bc523ff44478f6 completed March 21, 2026, 2:55 p.m.
Created at: March 20, 2026, 1:40 p.m.