Triple

T33395732
Position Surface form Disambiguated ID Type / Status
Subject Kazakh Eli Monument E855165 entity
Predicate hasTopElement P78816 FINISHED
Object Samruk golden eagle
The Samruk golden eagle is a monumental sculpture of a mythic bird symbolizing freedom and national spirit that crowns the Kazakh Eli Monument in Astana, Kazakhstan.
E2050378 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: Samruk golden eagle | Statement: [Kazakh Eli Monument, hasTopElement, Samruk golden eagle]
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: Samruk golden eagle
Triple: [Kazakh Eli Monument, hasTopElement, Samruk golden eagle]
Generated description
The Samruk golden eagle is a monumental sculpture of a mythic bird symbolizing freedom and national spirit that crowns the Kazakh Eli Monument in Astana, Kazakhstan.

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_69f3496e3f1c8190bcecfa82aa9d17ff completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e40d38a88190b24b3571a76e0a75 completed May 3, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3576f3e66c8190995d54139cd62438 completed June 19, 2026, 5:05 p.m.
NEDg Description generation batch_6a357acf162c8190a97a7b541e178988 completed June 19, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_6a357b82e8b4819085108a05e662add7 completed June 19, 2026, 5:25 p.m.
Created at: May 1, 2026, 1:35 a.m.