Triple

T5734369
Position Surface form Disambiguated ID Type / Status
Subject Tyrnyauz E126463 entity
Predicate formerName P65 FINISHED
Object Gerkhozhan
Gerkhozhan is the former name of the town now known as Tyrnyauz in the Kabardino-Balkar Republic of Russia.
E541145 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: Gerkhozhan | Statement: [Tyrnyauz, formerName, Gerkhozhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerkhozhan
Context triple: [Tyrnyauz, formerName, Gerkhozhan]
  • A. Gamzat-bek
    Gamzat-bek was an Avar leader and Imam of Dagestan who played a key role in the early 19th-century Caucasian resistance against the Russian Empire.
  • B. Urga
    Urga is the historical name of Mongolia’s capital city, now known as Ulaanbaatar.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Ahiya Sottaiev
    Ahiya Sottaiev was a 19th-century climber known for making the first recorded ascent of the higher summit of Mount Elbrus in the Caucasus.
  • E. Khillar Khachirov
    Khillar Khachirov was a mountaineer known for being among the climbers credited with the first recorded ascent of Mount Elbrus, the highest peak in Europe.
  • 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: Gerkhozhan
Triple: [Tyrnyauz, formerName, Gerkhozhan]
Generated description
Gerkhozhan is the former name of the town now known as Tyrnyauz in the Kabardino-Balkar Republic of Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gerkhozhan
Target entity description: Gerkhozhan is the former name of the town now known as Tyrnyauz in the Kabardino-Balkar Republic of Russia.
  • A. Gamzat-bek
    Gamzat-bek was an Avar leader and Imam of Dagestan who played a key role in the early 19th-century Caucasian resistance against the Russian Empire.
  • B. Urga
    Urga is the historical name of Mongolia’s capital city, now known as Ulaanbaatar.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Ahiya Sottaiev
    Ahiya Sottaiev was a 19th-century climber known for making the first recorded ascent of the higher summit of Mount Elbrus in the Caucasus.
  • E. Khillar Khachirov
    Khillar Khachirov was a mountaineer known for being among the climbers credited with the first recorded ascent of Mount Elbrus, the highest peak in Europe.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02536706c8190a69665b75c8a38e9 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a931b3c819092119a1587625eb5 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05c471c3081909e5bf44f47388a7c completed March 22, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69c05cda809c81908219947cf06c381a completed March 22, 2026, 9:19 p.m.
Created at: March 22, 2026, 3:47 p.m.