Triple

T9364620
Position Surface form Disambiguated ID Type / Status
Subject Sabus E225368 entity
Predicate nameDerivedFrom P63 FINISHED
Object Sabini E787902 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: Sabini | Statement: [Sabus, nameDerivedFrom, Sabini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabini
Context triple: [Sabus, nameDerivedFrom, Sabini]
  • A. Sabini chosen
    Sabini is the Latin name for the ancient Italic tribe known as the Sabine people, who inhabited central Italy and played a significant role in early Roman history.
  • B. Senaya
    Senaya is a modern Eastern Aramaic dialect traditionally spoken by the Christian community from Sanandaj in western Iran.
  • C. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • D. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • E. Laghée
    Laghée is a regional variety of the Lombard language traditionally spoken around Lake Como in northern Italy.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3f3c420819084b65fd4537aaf93 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:42 p.m.