Triple

T19812019
Position Surface form Disambiguated ID Type / Status
Subject Kurma E475969 entity
Predicate mountainSupported P137410 FINISHED
Object Mandara NE NERFINISHED

How this triple was built (3 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: Mandara | Statement: [Kurma, mountainSupported, Mandara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandara
Context triple: [Kurma, mountainSupported, Mandara]
  • A. Mandara
    Mandara is a Chadic language spoken primarily in parts of Cameroon and Nigeria, associated with the Mandara (Wandala) ethnic group.
  • B. Mandara Mountains chosen
    The Mandara Mountains are a volcanic mountain range along the northern Cameroon–Nigeria border, known for their rugged terrain, traditional villages, and cultural diversity.
  • C. Mandara-yu
    Mandara-yu is a traditional public hot spring bathhouse located in the historic Kinosaki Onsen resort town in Japan.
  • D. Sangotedo
    Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
  • E. Biu–Mandara
    Biu–Mandara is a major branch of the Chadic language family spoken primarily in parts of Nigeria, Cameroon, and Chad.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mountainSupported
Context triple: [Kurma, mountainSupported, Mandara]
  • A. hasMountainSport
    Indicates that an entity is associated with or offers a particular mountain-related sport or activity.
  • B. mountainType
    Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
  • C. hasMountainAccess
    Indicates that an entity has the right, ability, or means to enter, use, or traverse a mountain area.
  • D. operatesOnMountain
    Indicates that an entity performs operations, activities, or functions on or in relation to a mountain.
  • E. hasMountain
    Indicates that a location or region possesses or contains at least one mountain.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542c9c5c81908772e88caa067e63 completed April 20, 2026, 4:28 p.m.
PD Predicate disambiguation batch_69e5305858108190bbbfdb9ba3ab9f80 completed April 19, 2026, 7:43 p.m.
PDg Predicate description generation batch_69e532bcf41c8190b685b5adf46a60fc completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 1:50 p.m.