Triple

T35363693
Position Surface form Disambiguated ID Type / Status
Subject Nemrut Crater Lake E1021567 entity
Predicate locatedIn P40 FINISHED
Object Bitlis Province
Bitlis Province is an eastern Turkish province in the mountainous region of Eastern Anatolia, known for its volcanic landscapes, rich Kurdish and Ottoman heritage, and proximity to Lake Van.
E254588 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: Bitlis Province | Statement: [Nemrut Crater Lake, locatedIn, Bitlis Province]
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: Bitlis Province
Triple: [Nemrut Crater Lake, locatedIn, Bitlis Province]
Generated description
Bitlis Province is an eastern Turkish province in the mountainous region of Eastern Anatolia, known for its volcanic landscapes, rich Kurdish and Ottoman heritage, and proximity to Lake Van.

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_69f76def44c881908a20e8008572eb44 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f791d039d48190802792bc81c7d10b completed May 3, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5b816e95cc81909280d4b75e29c7f6 completed July 18, 2026, 1:36 p.m.
NEDg Description generation batch_6a5b81bb1194819095bdf97b108ec9cb completed July 18, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_6a5b828870c08190b90ead832ba0835e completed July 18, 2026, 1:41 p.m.
Created at: May 3, 2026, 4:03 p.m.