Triple

T10043071
Position Surface form Disambiguated ID Type / Status
Subject Geʽez E205342 entity
Predicate writingSystemUsedBy P454 FINISHED
Object Tigre E87133 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: Tigre | Statement: [Geʽez, writingSystemUsedBy, Tigre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tigre
Context triple: [Geʽez, writingSystemUsedBy, Tigre]
  • A. Tigre chosen
    Tigre is a Semitic Afroasiatic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
  • B. Tigre
    Tigre is a riverside city in the Buenos Aires Province of Argentina, known for its Paraná Delta waterways, tourism, and recreational boating.
  • C. Tigri
    Tigri is a locality in South Delhi, India, known primarily as a residential area that also hosts institutions such as the BSF Signal Training School.
  • D. Leone
    Leone is an Italian surname most famously associated with Sergio Leone, the influential film director known for pioneering the Spaghetti Western genre.
  • E. Leone
    Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf60a2208190846e57b5f5649307 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a35fbc081908ec7d359ec3332f2 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:55 p.m.