Triple

T26349514
Position Surface form Disambiguated ID Type / Status
Subject Osman Turan E662864 entity
Predicate notableWork P4 FINISHED
Object On İki Hayvanlı Türk Takvimi
On İki Hayvanlı Türk Takvimi is a scholarly work that examines the traditional twelve-animal calendar system used by Turkic peoples, exploring its historical, cultural, and chronological significance.
 E1721295 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: On İki Hayvanlı Türk Takvimi | Statement: [Osman Turan, notableWork, On İki Hayvanlı Türk Takvimi]
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: On İki Hayvanlı Türk Takvimi
Triple: [Osman Turan, notableWork, On İki Hayvanlı Türk Takvimi]
Generated description
On İki Hayvanlı Türk Takvimi is a scholarly work that examines the traditional twelve-animal calendar system used by Turkic peoples, exploring its historical, cultural, and chronological significance.

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_69ee8130fc44819094e5ab1da201cd7b completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60fa9dc9c8190b2501a3bc23eabfe completed May 2, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a66306c8190a33754abfa747dda completed May 23, 2026, 12:15 p.m.
NEDg Description generation batch_6a119b1444008190a4cdcbe5fd8bca98 completed May 23, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a119c2d13388190869495b5b068ab15 completed May 23, 2026, 12:23 p.m.
Created at: April 26, 2026, 10:44 p.m.