Triple

T18444218
Position Surface form Disambiguated ID Type / Status
Subject Asni E450613 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Imlil NE NERFINISHED

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: Imlil | Statement: [Asni, hasNearbyAttraction, Imlil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imlil
Context triple: [Asni, hasNearbyAttraction, Imlil]
  • A. Imlil chosen
    Imlil is a small mountain village in Morocco’s High Atlas that serves as the main gateway for trekkers heading to Mount Toubkal.
  • B. Talala
    Talala is a town in the Gir Somnath district of Gujarat, India, known as a gateway to the nearby Gir National Park and its Asiatic lion habitat.
  • C. Talala
    Talala is a small rural town in northeastern Oklahoma, United States, known for its close-knit community and agricultural surroundings.
  • D. Sindagua
    Sindagua is an extinct Barbacoan language once spoken by indigenous communities in what is now southwestern Colombia.
  • E. Merouana
    Merouana is a town and commune in northeastern Algeria known for its mountainous surroundings and role as a local administrative and commercial center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c142abc8190b4f6f938acdc413d completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.