Triple

T19145461
Position Surface form Disambiguated ID Type / Status
Subject Ngaoundéré railway terminus E468666 entity
Predicate hasEndpointDirection P15156 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: [Ngaoundéré railway terminus, hasEndpointDirection, north]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEndpointDirection
Context triple: [Ngaoundéré railway terminus, hasEndpointDirection, north]
  • A. hasDirectionType
    Indicates that something possesses or is associated with a specific type or category of direction.
  • B. hasRouteDirection chosen
    Indicates that a specified route is associated with a particular travel direction (e.g., inbound, outbound, northbound).
  • C. hasEndpointType
    Indicates that an entity has a specific type or classification assigned to one of its endpoints.
  • D. hasCanalDirection
    Indicates that a canal has a specific directional orientation or flow direction relative to a reference.
  • E. containsDirectionOf
    Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e978b0b481909a531efa030c5def completed April 20, 2026, 8:53 a.m.
PD Predicate disambiguation batch_69e4b9b475d88190a8c15e8eb01dbfef completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:06 p.m.