Triple

T36826359
Position Surface form Disambiguated ID Type / Status
Subject Blaise of Sebaste E910020 entity
Predicate deathPlace P21 FINISHED
Object present-day Sivas, Turkey
Present-day Sivas, Turkey is a historic city in central Anatolia known as the former Roman and Byzantine town of Sebaste, associated with early Christian martyrs and saints.
E2200566 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: present-day Sivas, Turkey | Statement: [Blaise of Sebaste, deathPlace, present-day Sivas, Turkey]
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: present-day Sivas, Turkey
Triple: [Blaise of Sebaste, deathPlace, present-day Sivas, Turkey]
Generated description
Present-day Sivas, Turkey is a historic city in central Anatolia known as the former Roman and Byzantine town of Sebaste, associated with early Christian martyrs and saints.

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_69f76e7e9d60819092442fba73290a46 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7ca9c9ef88190b71bcc6f5b4a6182 completed May 3, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde6722008190991e0c4f809a31ab completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3de0ade05481909275771c1cb818e4 completed June 26, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_6a3de6f34c3481908da33bd81332794d completed June 26, 2026, 2:41 a.m.
Created at: May 3, 2026, 4:13 p.m.