Triple

T14612941
Position Surface form Disambiguated ID Type / Status
Subject Batroun District E343004 entity
Predicate containsVillage P4011 FINISHED
Object Kfifane E1111241 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: Kfifane | Statement: [Batroun District, containsVillage, Kfifane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kfifane
Context triple: [Batroun District, containsVillage, Kfifane]
  • A. Kfifane chosen
    Kfifane is a village in northern Lebanon known for its Maronite Christian heritage and monastic presence.
  • B. Mfengu
    The Mfengu are a Southern African ethnic group, historically refugees from earlier conflicts, who became known as allies of the British and Xhosa intermediaries during the 19th-century colonial frontier wars in the Eastern Cape.
  • C. Kasangati
    Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
  • D. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • E. Kumba
    Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb450e6588190a94488d8e71888c8 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5cbcf08819084313bf28f0bb3e1 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:25 a.m.