Triple

T1124057
Position Surface form Disambiguated ID Type / Status
Subject Tampa Bay area E24678 entity
Predicate hasMajorCity P316 FINISHED
Object Clearwater E130176 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: Clearwater | Statement: [Tampa Bay area, hasMajorCity, Clearwater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clearwater
Context triple: [Tampa Bay area, hasMajorCity, Clearwater]
  • A. Clearwater chosen
    Clearwater is a coastal city in Florida known for its white-sand beaches, tourism, and location on the Gulf of Mexico within the greater Tampa Bay metropolitan area.
  • B. Shoreline
    Shoreline is a suburban city in Washington State located just north of Seattle, known for its residential neighborhoods, parks, and access to Puget Sound.
  • C. Fairwater
    Fairwater is a residential neighbourhood within the town of Cwmbran in South Wales.
  • D. Crossapol Bay
    Crossapol Bay is a scenic sandy beach on the island of Coll in Scotland’s Inner Hebrides, known for its wide shoreline and clear, shallow waters.
  • E. La Baie
    La Baie is the French-language brand name used by the Hudson’s Bay Company for its department stores in Quebec and other francophone markets in Canada.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbd92a8c8190a16e55f3f739010f completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8309594c8190986b048b8982f153 completed March 7, 2026, 7:56 p.m.
Created at: March 1, 2026, 7:44 p.m.