Triple

T20898538
Position Surface form Disambiguated ID Type / Status
Subject Alagir Gorge E514606 entity
Predicate nearestTown P350 FINISHED
Object Alagir
Alagir is a town in the Republic of North Ossetia–Alania, Russia, situated in the central Caucasus and serving as a local industrial and transport center.
 E1457214 NE FINISHED

How this triple was built (4 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: Alagir | Statement: [Alagir Gorge, nearestTown, Alagir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alagir
Context triple: [Alagir Gorge, nearestTown, Alagir]
  • A. Alagwa
    Alagwa is a Cushitic language spoken by the Alagwa people of north-central Tanzania.
  • B. Alakaluf
    Alakaluf, more commonly known as the Kawésqar, are an Indigenous seafaring people native to the fjords and channels of southern Chilean Patagonia.
  • C. Algedi
    Algedi is a traditional name for Alpha Capricorni, a multiple star system in the constellation Capricornus visible to the naked eye.
  • D. Alghisi
    Alghisi is an Italian surname associated with individuals such as Giuditta Alghisi.
  • E. Alawa
    Alawa is a residential suburb in the northern part of Darwin, in Australia's Northern Territory.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Alagir
Triple: [Alagir Gorge, nearestTown, Alagir]
Generated description
Alagir is a town in the Republic of North Ossetia–Alania, Russia, situated in the central Caucasus and serving as a local industrial and transport center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alagir
Target entity description: Alagir is a town in the Republic of North Ossetia–Alania, Russia, situated in the central Caucasus and serving as a local industrial and transport center.
  • A. Alagwa
    Alagwa is a Cushitic language spoken by the Alagwa people of north-central Tanzania.
  • B. Alakaluf
    Alakaluf, more commonly known as the Kawésqar, are an Indigenous seafaring people native to the fjords and channels of southern Chilean Patagonia.
  • C. Algedi
    Algedi is a traditional name for Alpha Capricorni, a multiple star system in the constellation Capricornus visible to the naked eye.
  • D. Alghisi
    Alghisi is an Italian surname associated with individuals such as Giuditta Alghisi.
  • E. Alawa
    Alawa is a residential suburb in the northern part of Darwin, in Australia's Northern Territory.
  • F. None of above. chosen

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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8f826788190b11008cc94b2a4e4 completed April 21, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0918cefa2081909768f9923a96f209 completed May 17, 2026, 1:24 a.m.
NEDg Description generation batch_6a091ca90e788190bb74c161c9233634 completed May 17, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_6a091d9402448190bb223e0950450e4e completed May 17, 2026, 1:44 a.m.
Created at: April 16, 2026, 12:47 p.m.