Triple

T945831
Position Surface form Disambiguated ID Type / Status
Subject Dagestan E20410 entity
Predicate isoCode P189 FINISHED
Object RU-DA
RU-DA is the ISO 3166-2 regional code assigned to the Republic of Dagestan within the Russian Federation.
 E111147 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: RU-DA | Statement: [Dagestan, isoCode, RU-DA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RU-DA
Context triple: [Dagestan, isoCode, RU-DA]
  • A. RdR
    RdR is the abbreviated name of the Council for German Orthography, the official body responsible for regulating and updating German spelling rules.
  • B. Rada
    Rada is the commonly used short name for Ukraine’s unicameral national parliament, the Verkhovna Rada.
  • C. ROK
    ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • D. Russin
    Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
  • E. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • 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: RU-DA
Triple: [Dagestan, isoCode, RU-DA]
Generated description
RU-DA is the ISO 3166-2 regional code assigned to the Republic of Dagestan within the Russian Federation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RU-DA
Target entity description: RU-DA is the ISO 3166-2 regional code assigned to the Republic of Dagestan within the Russian Federation.
  • A. RdR
    RdR is the abbreviated name of the Council for German Orthography, the official body responsible for regulating and updating German spelling rules.
  • B. Rada
    Rada is the commonly used short name for Ukraine’s unicameral national parliament, the Verkhovna Rada.
  • C. ROK
    ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • D. Russin
    Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
  • E. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a61b648190b1b6c932e047e161 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e7d55c8190b9b871caead76733 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a845a793e08190892fe1a545095f62 completed March 4, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69a8463631608190a9ada5605e9625aa completed March 4, 2026, 2:48 p.m.
Created at: March 1, 2026, 7:40 p.m.