Triple

T4797237
Position Surface form Disambiguated ID Type / Status
Subject Lenino E106739 entity
Predicate near P350 FINISHED
Object Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
E471490 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: Horki | Statement: [Lenino, near, Horki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horki
Context triple: [Lenino, near, Horki]
  • A. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • B. Hutaosa
    Hutaosa is an alternative or variant form of the ancient Persian female name Atossa, borne by a prominent Achaemenid queen.
  • C. Harsusi
    Harsusi is a critically endangered South Semitic language spoken by a small community in the Dhofar region of Oman.
  • D. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • E. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • 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: Horki
Triple: [Lenino, near, Horki]
Generated description
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Horki
Target entity description: Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • A. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • B. Hutaosa
    Hutaosa is an alternative or variant form of the ancient Persian female name Atossa, borne by a prominent Achaemenid queen.
  • C. Harsusi
    Harsusi is a critically endangered South Semitic language spoken by a small community in the Dhofar region of Oman.
  • D. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • E. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd660b05ec8190971f43350f02fed4 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d9a76c08190bd19fcef378cd640 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4e764b60819097aace8e7321dc0c completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4ef501e081908a75547e9bb52c0c completed March 21, 2026, 7:55 a.m.
Created at: March 20, 2026, 1:22 p.m.