Triple

T32820890
Position Surface form Disambiguated ID Type / Status
Subject Upupidae E839431 entity
Predicate includesSpecies P10920 FINISHED
Object Upupa africana
Upupa africana is the African hoopoe, a distinctive bird species known for its striking cinnamon plumage, black-and-white wings, and prominent erectile crest, found across much of sub-Saharan Africa.
E2022610 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: Upupa africana | Statement: [Upupidae, includesSpecies, Upupa africana]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Upupa africana
Triple: [Upupidae, includesSpecies, Upupa africana]
Generated description
Upupa africana is the African hoopoe, a distinctive bird species known for its striking cinnamon plumage, black-and-white wings, and prominent erectile crest, found across much of sub-Saharan Africa.

Provenance (5 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_69f3493df9008190a8f5d843dcd77704 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cdd5aab48190bf7226caea67c909 completed May 3, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34b183733881909db71b3a5dc94ce5 completed June 19, 2026, 3:03 a.m.
NEDg Description generation batch_6a34b226f710819086b2d0bee27a8c79 completed June 19, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_6a34b2b0f36c8190ab30af3d30024b97 completed June 19, 2026, 3:08 a.m.
Created at: May 1, 2026, 1:15 a.m.