Triple

T6753779
Position Surface form Disambiguated ID Type / Status
Subject Sara language E154401 entity
Predicate hasDialect P4251 FINISHED
Object Mango E4043 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: Mango | Statement: [Sara language, hasDialect, Mango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mango
Context triple: [Sara language, hasDialect, Mango]
  • A. Mango chosen
    Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
  • B. Haden mango
    Haden mango is a historically important and widely grown mango cultivar from Florida known for its rich flavor, vibrant color, and role as a parent to many modern mango varieties.
  • C. Mulgoba mango
    Mulgoba mango is a classic Indian mango cultivar known for its rich flavor and aromatic, fiberless flesh, and for serving as a parent to several important modern mango varieties.
  • D. Litchi
    Litchi is a tropical fruit-bearing tree genus best known for producing sweet, aromatic lychee fruits with rough red skins and translucent white flesh.
  • E. Keitt mango
    Keitt mango is a late-season, large, green-skinned mango cultivar prized for its sweet, fiberless flesh and extended shelf life.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f32fa08190bb23dc24fef14c8d completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712a793cc8190b838806151851711 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:11 p.m.