Triple

T13914845
Position Surface form Disambiguated ID Type / Status
Subject HNA Group E334594 entity
Predicate headquartersLocation P62 FINISHED
Object Hainan E37179 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: Hainan | Statement: [HNA Group, headquartersLocation, Hainan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hainan
Context triple: [HNA Group, headquartersLocation, Hainan]
  • A. Hainan chosen
    Hainan is a tropical island province in southern China known for its beaches, tourism, and status as a major special economic zone.
  • B. HAINAN
    HAINAN is the radio callsign used by Hainan Airlines for air traffic control and aviation communications.
  • C. Hainan Hlai
    Hainan Hlai is a Kra–Dai language spoken primarily by the Li (Hlai) ethnic group on China’s Hainan Island.
  • D. Hainan Special Economic Zone
    Hainan Special Economic Zone is a major Chinese free-trade and investment zone encompassing the entire island province of Hainan, established to promote market-oriented economic reforms and international commerce.
  • E. Lingshui
    Lingshui is a coastal county-level city in southeastern Hainan, China, known for its tropical climate, beaches, and growing tourism industry.
  • 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_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_69fba1c26ba08190b19560123691fda4 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:16 p.m.