Triple

T13914825
Position Surface form Disambiguated ID Type / Status
Subject CHH E334593 entity
Predicate operatorHeadquarteredIn P95731 FINISHED
Object Haikou E197372 NE FINISHED

How this triple was built (3 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: Haikou | Statement: [CHH, operatorHeadquarteredIn, Haikou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haikou
Context triple: [CHH, operatorHeadquarteredIn, Haikou]
  • A. Haikou chosen
    Haikou is the capital and largest city of China’s Hainan Province, known as a key port, commercial hub, and tropical coastal destination.
  • B. Sanya
    Sanya is a major resort city on the southern coast of China’s Hainan Island, known for its tropical climate and popular beach tourism.
  • C. Wanning
    Wanning is a county-level coastal city in southeastern Hainan, China, known for its tropical climate, beaches, and surf-friendly bays.
  • D. Hangtou
    Hangtou is a town in Shanghai, China, known as the southern terminus of the Shanghai Metro’s Line 18.
  • E. Boao
    Boao is a coastal town in Hainan, China, best known for hosting the annual Boao Forum for Asia, a major international economic and political conference.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatorHeadquarteredIn
Context triple: [CHH, operatorHeadquarteredIn, Haikou]
  • A. employerHeadquarters
    Indicates the location where an employer’s main corporate offices or central administrative operations are based.
  • B. hasOperatorHeadquartersIn chosen
    Indicates that the primary operational headquarters of an operator is located in a specified place.
  • C. serviceBranchHeadquarters
    Indicates the location that serves as the main headquarters for a particular military or service branch.
  • D. operatorHeadquartersAirport
    Indicates that the specified airport serves as the primary headquarters location for the operator.
  • E. headquartersFor
    Indicates that a location serves as the main administrative center or base of operations for an organization or entity.
  • F. None of above.

Provenance (4 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de27260ae08190be45b4b15898e365 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce783d808190b0e0ec89591af51d completed May 3, 2026, 10:38 p.m.
PD Predicate disambiguation batch_69de059e4ba881908554f72e889719fa completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:16 p.m.