Triple

T5886217
Position Surface form Disambiguated ID Type / Status
Subject Liuzhou North railway station E130867 entity
Predicate geographicDirectionImpliedByName P67274 FINISHED
Object north LITERAL 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: north | Statement: [Liuzhou North railway station, geographicDirectionImpliedByName, north]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geographicDirectionImpliedByName
Context triple: [Liuzhou North railway station, geographicDirectionImpliedByName, north]
  • A. geographicDirectionWithinCountry
    Indicates that one place lies in a specified cardinal or intercardinal direction relative to another place within the same country.
  • B. containsDirectionOf
    Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
  • C. directionFromEarth
    Indicates the compass or spatial direction in which an entity is located as observed from Earth.
  • D. definesDirection
    Indicates that one entity specifies or establishes the orientation, course, or path along which another entity is directed or proceeds.
  • E. approximateDirection
    Indicates that one entity is located in a general or rough directional relation (e.g., roughly north, south, etc.) relative to another entity, without specifying an exact bearing.
  • F. None of above. chosen

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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03fe07b7081909f8577ec3a9a1a8d completed March 22, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69c0334bdc308190ad0d7199ab975588 completed March 22, 2026, 6:22 p.m.
PDg Predicate description generation batch_69c03fdf954c8190ae97a5c9ce40bdfa completed March 22, 2026, 7:15 p.m.
Created at: March 22, 2026, 3:57 p.m.