Triple

T14110537
Position Surface form Disambiguated ID Type / Status
Subject Sankore University E339622 entity
Predicate locatedIn P40 FINISHED
Object Timbuktu E144680 NE 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: Timbuktu | Statement: [Sankore University, locatedIn, Timbuktu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timbuktu
Context triple: [Sankore University, locatedIn, Timbuktu]
  • A. Timbuktu chosen
    Timbuktu is an ancient city in Mali famed as a historic center of trans-Saharan trade and Islamic scholarship.
  • B. Djenné Songhay
    Djenné Songhay is a regional variety of the Songhay language spoken around the town of Djenné in Mali.
  • C. Djenné
    Djenné is an ancient Malian town renowned for its mud-brick architecture and historic Great Mosque, a UNESCO World Heritage site and one of the most famous examples of Sudano-Sahelian architecture.
  • D. Birgu
    Birgu is a historic fortified city in Malta, renowned for its strategic harbor position and pivotal role in the island’s military and maritime history.
  • E. Koumbi Saleh
    Koumbi Saleh was the principal urban and commercial center of the medieval West African Ghana Empire, renowned as a hub of trans-Saharan trade in gold and other goods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600e6a688190a1243a30ae9b7157 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b699108190993f1102418ecff1 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.