Triple

T27011512
Position Surface form Disambiguated ID Type / Status
Subject Ardon River E680400 entity
Predicate flowsThrough P225 FINISHED
Object Alagirsky District
Alagirsky District is an administrative district in the Republic of North Ossetia–Alania, Russia, known for its mountainous terrain in the central Caucasus and its role as a transport and cultural hub in the region.
E2083519 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: Alagirsky District | Statement: [Ardon River, flowsThrough, Alagirsky 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: Alagirsky District
Triple: [Ardon River, flowsThrough, Alagirsky District]
Generated description
Alagirsky District is an administrative district in the Republic of North Ossetia–Alania, Russia, known for its mountainous terrain in the central Caucasus and its role as a transport and cultural hub in the 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_69eeeb53939c8190bd431f32b060f01f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f621d6eeb8819091c42b69b26b4d8a completed May 2, 2026, 4:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36c1a228a88190a6adca7f1ca112b9 completed June 20, 2026, 4:36 p.m.
NEDg Description generation batch_6a36c328ba788190ac5f7e0d59cedcff completed June 20, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_6a36c3da25608190b47fdf74705560bc completed June 20, 2026, 4:46 p.m.
Created at: April 27, 2026, 7:03 a.m.