Triple

T1871288
Position Surface form Disambiguated ID Type / Status
Subject Borkou-Ennedi-Tibesti E39039 entity
Predicate namedAfter P63 FINISHED
Object Borkou
Borkou is a desert region in northern Chad known for its arid landscapes and location within the Sahara.
E212831 NE FINISHED

How this triple was built (4 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: Borkou | Statement: [Borkou-Ennedi-Tibesti, namedAfter, Borkou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borkou
Context triple: [Borkou-Ennedi-Tibesti, namedAfter, Borkou]
  • A. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • B. Imlil
    Imlil is a small mountain village in Morocco’s High Atlas that serves as the main gateway for trekkers heading to Mount Toubkal.
  • C. Zenne
    The Zenne is a river in central Belgium that flows through Brussels and several nearby towns before joining the Dyle.
  • D. Garki
    Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
  • E. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Borkou
Triple: [Borkou-Ennedi-Tibesti, namedAfter, Borkou]
Generated description
Borkou is a desert region in northern Chad known for its arid landscapes and location within the Sahara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Borkou
Target entity description: Borkou is a desert region in northern Chad known for its arid landscapes and location within the Sahara.
  • A. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • B. Imlil
    Imlil is a small mountain village in Morocco’s High Atlas that serves as the main gateway for trekkers heading to Mount Toubkal.
  • C. Zenne
    The Zenne is a river in central Belgium that flows through Brussels and several nearby towns before joining the Dyle.
  • D. Garki
    Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
  • E. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • F. None of above. chosen

Provenance (5 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0ba90e08190b990875d6e8e7e4a completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeae228008190a0d427c74fd37511 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adebd146408190b80a7d8e8974a90d completed March 8, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69adec551c688190a0bcdc16ab6e3ecc completed March 8, 2026, 9:38 p.m.
Created at: March 4, 2026, 7:34 p.m.