Triple

T13456825
Position Surface form Disambiguated ID Type / Status
Subject Harbor Area E311257 entity
Predicate hasPart P35 FINISHED
Object Harbor City E172198 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: Harbor City | Statement: [Harbor Area, hasPart, Harbor City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harbor City
Context triple: [Harbor Area, hasPart, Harbor City]
  • A. Harbor City chosen
    Harbor City is a residential and industrial neighborhood in the Harbor region of Los Angeles, California, known for its proximity to the Port of Los Angeles and its diverse, working-class community.
  • B. Harbour City
    Harbour City is the coastal British Columbia city of Nanaimo, known for its busy port, waterfront, and maritime character.
  • C. Harbour City
    Harbour City is the nickname of Tema, a major port and industrial city on the Atlantic coast of Ghana.
  • D. Harbor Gateway, Los Angeles
    Harbor Gateway, Los Angeles is a narrow, largely residential and industrial neighborhood in the South Los Angeles region that serves as a transportation corridor linking the city of Los Angeles with the Harbor area.
  • E. Harborland shopping and entertainment district
    Harborland shopping and entertainment district is a popular waterfront area in Kobe, Japan, known for its large shopping complexes, restaurants, and leisure attractions overlooking the harbor.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0a75008190a508060c85f73604 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739a001d08190ae5664c6670540e7 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.