Triple

T27881613
Position Surface form Disambiguated ID Type / Status
Subject Sarothruridae E705104 entity
Predicate containsGenus P9413 FINISHED
Object Sarothrura
Sarothrura is a genus of small, secretive African rails commonly known as flufftails, found in dense wetlands and grasslands.
E1800773 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: Sarothrura | Statement: [Sarothruridae, containsGenus, Sarothrura]
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: Sarothrura
Triple: [Sarothruridae, containsGenus, Sarothrura]
Generated description
Sarothrura is a genus of small, secretive African rails commonly known as flufftails, found in dense wetlands and grasslands.

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_69ef84111bb4819084298f994b31c62f completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f639839a8081909d3640366f70b661 completed May 2, 2026, 5:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b881419481908e12fa7a8e7620a7 completed May 26, 2026, 3:13 p.m.
NEDg Description generation batch_6a15beded7e8819091eda9666375ad5b completed May 26, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_6a15bf51a6c4819097eaaa711bdbe5f0 completed May 26, 2026, 3:42 p.m.
Created at: April 27, 2026, 6:30 p.m.