Triple

T28296470
Position Surface form Disambiguated ID Type / Status
Subject Hyrcanian forests E713582 entity
Predicate containsSpecies P7733 FINISHED
Object Caspian snowcock
The Caspian snowcock is a large, ground-dwelling mountain bird in the pheasant family, found in rocky alpine habitats of the Caucasus and surrounding regions.
 E456527 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: Caspian snowcock | Statement: [Hyrcanian forests, containsSpecies, Caspian snowcock]
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: Caspian snowcock
Triple: [Hyrcanian forests, containsSpecies, Caspian snowcock]
Generated description
The Caspian snowcock is a large, ground-dwelling mountain bird in the pheasant family, found in rocky alpine habitats of the Caucasus and surrounding regions.

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_69efb524ab688190a1ce7ee7c9520932 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f644ae76e881909c12407afdbb77e4 completed May 2, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1627a6c3848190a36408512553c968 completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a162b7f63248190b371a18930eda206 completed May 26, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_6a162bf4f9908190b99f430424a34ce8 completed May 26, 2026, 11:25 p.m.
Created at: April 27, 2026, 11:32 p.m.