Triple

T38024549
Position Surface form Disambiguated ID Type / Status
Subject Xie Feng E948733 entity
Predicate hasDiplomaticMissionTo P12096 FINISHED
Object United States NE NERFINISHED

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: United States | Statement: [Xie Feng, hasDiplomaticMissionTo, United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDiplomaticMissionTo
Context triple: [Xie Feng, hasDiplomaticMissionTo, United States]
  • A. hasDiplomaticMission chosen
    Indicates that one entity maintains an official diplomatic representation, such as an embassy or mission, in the territory or jurisdiction of another entity.
  • B. hasDiplomaticStaffFrom
    Indicates that an entity has diplomatic personnel who originate from or represent another specified entity.
  • C. hasConsulateOfUnitedStatesIn
    Indicates that a consulate of the United States is located in the specified place.
  • D. countryOfDiplomaticMission
    Indicates that a diplomatic mission is located in and officially accredited to a particular country.
  • E. diplomaticMissionInCity
    Indicates that a diplomatic mission (such as an embassy or consulate) is located in or operates within a specific city.
  • F. None of above.

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_69f76efd1bc48190a729097fe5177b61 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69ffb1218cb08190a814c7f0833501a7 completed May 9, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69ffb083d6988190b2757e0cfd629b75 completed May 9, 2026, 10:09 p.m.
Created at: May 3, 2026, 4:20 p.m.