Triple

T26706750
Position Surface form Disambiguated ID Type / Status
Subject Botaurus pinnatus E673304 entity
Predicate commonName P570 FINISHED
Object Pinnated bittern
The Pinnated Bittern is a large, secretive heron-like wading bird of Central and South American wetlands, known for its streaked brown plumage and excellent camouflage among reeds.
E1745231 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: Pinnated bittern | Statement: [Botaurus pinnatus, commonName, Pinnated bittern]
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: Pinnated bittern
Triple: [Botaurus pinnatus, commonName, Pinnated bittern]
Generated description
The Pinnated Bittern is a large, secretive heron-like wading bird of Central and South American wetlands, known for its streaked brown plumage and excellent camouflage among reeds.

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_69eecda2b49c8190a6c481cfc4c07954 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f617b9d9648190a1f50ece0815b857 completed May 2, 2026, 3:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12131fb7e881908467bdb72ba60d73 completed May 23, 2026, 8:50 p.m.
NEDg Description generation batch_6a12159a157c819082991f2d1550d887 completed May 23, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_6a121600e8f081909f5deb07266e1a80 completed May 23, 2026, 9:02 p.m.
Created at: April 27, 2026, 3:34 a.m.