Triple

T23733972
Position Surface form Disambiguated ID Type / Status
Subject Mineralnye Vody E586487 entity
Predicate administrativeCenterOf P383 FINISHED
Object Mineralovodsky District
Mineralovodsky District is an administrative district (raion) in Stavropol Krai, Russia, known for encompassing the town of Mineralnye Vody and being part of the North Caucasus region.
E1950850 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: Mineralovodsky District | Statement: [Mineralnye Vody, administrativeCenterOf, Mineralovodsky District]
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: Mineralovodsky District
Triple: [Mineralnye Vody, administrativeCenterOf, Mineralovodsky District]
Generated description
Mineralovodsky District is an administrative district (raion) in Stavropol Krai, Russia, known for encompassing the town of Mineralnye Vody and being part of the North Caucasus region.

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_69e24907dc9c8190be074c9c96a0ec2d completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1bacfb3d0819085a11140ac7aeb12 completed April 29, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2958dfa3388190b224e60d9fdb5aa9 completed June 10, 2026, 12:30 p.m.
NEDg Description generation batch_6a295bd1efbc8190ac520e6768c8ff69 completed June 10, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_6a295c0c15648190abc3dc9308e2ed61 completed June 10, 2026, 12:43 p.m.
Created at: April 17, 2026, 7:10 p.m.