Triple

T9889860
Position Surface form Disambiguated ID Type / Status
Subject Guanzhong region E181424 entity
Predicate hasPass P11208 FINISHED
Object Hangu Pass E827539 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: Hangu Pass | Statement: [Guanzhong region, hasPass, Hangu Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hangu Pass
Context triple: [Guanzhong region, hasPass, Hangu Pass]
  • A. Hangu Pass chosen
    Hangu Pass is an ancient strategic mountain pass in China that historically served as a key gateway between the Central Plains and the western Guanzhong region.
  • B. Huta Pass
    Huta Pass is a mountain pass located in the Beskid Sądecki range of the Western Carpathians in southern Poland.
  • C. Ganwoljae Pass
    Ganwoljae Pass is a scenic mountain pass in Ulju-gun, South Korea, known for its panoramic views and popular hiking trails.
  • D. Hochtor Pass
    Hochtor Pass is a high mountain pass in the Austrian Alps, best known as a key point along the scenic Grossglockner High Alpine Road.
  • E. Hanpo Pass
    Hanpo Pass is a scenic mountain pass on Lushan Mountain in China, known for its dramatic cliffs, cloud seas, and panoramic views over the surrounding landscape.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47dfa908190884e96e5e5d6f41f completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d22891cb4c8190b4d378749599bdda completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:39 p.m.