Triple

T23360266
Position Surface form Disambiguated ID Type / Status
Subject Mongo ma Ndemi E593163 entity
Predicate overlooks P1323 FINISHED
Object city of Limbe NE NERFINISHED

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: city of Limbe | Statement: [Mongo ma Ndemi, overlooks, city of Limbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Limbe
Context triple: [Mongo ma Ndemi, overlooks, city of Limbe]
  • A. Limbé
    Limbé is a historic town in northern Haiti known for its agricultural surroundings and role in the country’s colonial and revolutionary past.
  • B. Port of Limbe
    The Port of Limbe is a coastal seaport in southwestern Cameroon that serves as a regional hub for maritime trade and access to the Gulf of Guinea.
  • C. Beni Douala
    Beni Douala is a town and commune in northern Algeria, situated in the Kabylie region within Tizi Ouzou Province.
  • D. Buea chosen
    Buea is a town in southwestern Cameroon, historically significant as an administrative center during colonial rule and today known as a regional capital near Mount Cameroon.
  • E. Lambaréné
    Lambaréné is a town in western Gabon best known for its location on the Ogooué River and for hosting the historic Albert Schweitzer Hospital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0a730f8819088fec53a43b063f8 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:30 p.m.