Triple

T29368126
Position Surface form Disambiguated ID Type / Status
Subject Philepittidae E744774 entity
Predicate hasMember P10 FINISHED
Object Yellow-bellied sunbird-asity
The Yellow-bellied sunbird-asity is a small, brightly colored bird endemic to Madagascar, known for its vivid yellow underparts and specialized role in the island’s unique forest ecosystems.
E1865575 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: Yellow-bellied sunbird-asity | Statement: [Philepittidae, hasMember, Yellow-bellied sunbird-asity]
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: Yellow-bellied sunbird-asity
Triple: [Philepittidae, hasMember, Yellow-bellied sunbird-asity]
Generated description
The Yellow-bellied sunbird-asity is a small, brightly colored bird endemic to Madagascar, known for its vivid yellow underparts and specialized role in the island’s unique forest ecosystems.

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_69f0a79ba954819094597628112c6091 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f669a8aa708190b4bb1e8bc56b0dd7 completed May 2, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25c10067f881908d2bf4cea2c0207c completed June 7, 2026, 7:05 p.m.
NEDg Description generation batch_6a25c505c1e0819087cefd1331d571c1 completed June 7, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a25cfde71e081909bd5db09781d4dbe completed June 7, 2026, 8:09 p.m.
Created at: April 28, 2026, 2:25 p.m.