Triple

T7436516
Position Surface form Disambiguated ID Type / Status
Subject César Award for Best Film E171628 entity
Predicate hasNotableWinner P2766 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: [César Award for Best Film, hasNotableWinner, Timbuktu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timbuktu
Context triple: [César Award for Best Film, hasNotableWinner, 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f349399c8190b46d5882ece2e73a completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f228014819088220b2cefc3ee41 completed March 28, 2026, 6:34 p.m.
Created at: March 27, 2026, 3:13 p.m.