Triple

T16452102
Position Surface form Disambiguated ID Type / Status
Subject Beji Caid Essebsi E399577 entity
Predicate givenName P17 FINISHED
Object Beji E399577 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: Beji | Statement: [Beji Caid Essebsi, givenName, Beji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beji
Context triple: [Beji Caid Essebsi, givenName, Beji]
  • A. Beji chosen
    Beji is the given name of Beji Caid Essebsi, the Tunisian politician who served as president of Tunisia after the 2011 revolution.
  • B. Bahraich
    Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
  • C. Bahau
    Bahau is an Austronesian Dayak language variety spoken by indigenous communities in central Borneo, particularly in Indonesia’s East and North Kalimantan regions.
  • D. Bahau
    Bahau is a prominent town in the Malaysian state of Negeri Sembilan, serving as a local commercial and transportation hub for the surrounding rural areas.
  • E. Ghadamisi
    Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in western Libya.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce19344819083d323077b742bc3 completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004598ec088190be80ad70e3f1357e completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.