Triple

T5363885
Position Surface form Disambiguated ID Type / Status
Subject Refuge du Toubkal E103083 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Aroumd E457094 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: Aroumd | Statement: [Refuge du Toubkal, hasNearbySettlement, Aroumd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aroumd
Context triple: [Refuge du Toubkal, hasNearbySettlement, Aroumd]
  • A. Aroumd chosen
    Aroumd is a small traditional Berber mountain village in Morocco’s High Atlas, serving as a common base for trekkers heading toward Mount Toubkal.
  • B. Aro
    Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
  • C. Aryamba
    Aryamba was the mother of the philosopher Adi Shankaracharya, traditionally revered in the village of Kalady in Kerala, India.
  • D. Kalorama
    Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
  • E. Aparan
    Aparan is a small town in Armenia’s Aragatsotn Province, known for its proximity to Mount Aragats and its historic churches and monuments.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865d42508190a1a96121674c1020 completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21f2bc708190b596c5402fa07e75 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:02 p.m.