Triple

T12350272
Position Surface form Disambiguated ID Type / Status
Subject Gateway to Abuja E294464 entity
Predicate landmarkRole P43158 FINISHED
Object visual marker of the main northern entrance to Abuja 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: visual marker of the main northern entrance to Abuja | Statement: [Gateway to Abuja, landmarkRole, visual marker of the main northern entrance to Abuja]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: landmarkRole
Context triple: [Gateway to Abuja, landmarkRole, visual marker of the main northern entrance to Abuja]
  • A. isLandmarkFor chosen
    Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
  • B. hasTouristAttractionRole
    Indicates that an entity serves in the capacity or function of a tourist attraction for another entity (such as a place, organization, or area).
  • C. includesLandmark
    Indicates that one location or area contains or encompasses a specific landmark within its boundaries.
  • D. significantMonument
    Indicates that something is a monument of notable historical, cultural, or symbolic importance.
  • E. emblematicBuildingLocation
    Indicates that a building serves as a symbolic or representative landmark for a particular location or area.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7cbff08190849cd2aec4ce3243 completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ecb5efc819086a3530282278bb1 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.