Triple

T17741258
Position Surface form Disambiguated ID Type / Status
Subject Nahum Gutman E442862 entity
Predicate birthPlace P1 FINISHED
Object Telenești
Telenești is a town in central Moldova known as the administrative center of Telenești District.
E1325068 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: Telenești | Statement: [Nahum Gutman, birthPlace, Telenești]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telenești
Context triple: [Nahum Gutman, birthPlace, Telenești]
  • A. Giurgiulești
    Giurgiulești is a Moldovan village and river port located at the country’s southern tip, serving as its only direct access point to the Danube and maritime trade routes.
  • B. Băilești
    Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
  • C. Văcărești
    Văcărești is a neighborhood and area in southern Bucharest, Romania, known for its large urban nature park and former reservoir site.
  • D. Bălcești
    Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
  • E. Bușteni
    Bușteni is a Romanian mountain resort town in the Prahova Valley, known for its access to the Bucegi Mountains and popular skiing and hiking opportunities.
  • 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: Telenești
Triple: [Nahum Gutman, birthPlace, Telenești]
Generated description
Telenești is a town in central Moldova known as the administrative center of Telenești District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Telenești
Target entity description: Telenești is a town in central Moldova known as the administrative center of Telenești District.
  • A. Giurgiulești
    Giurgiulești is a Moldovan village and river port located at the country’s southern tip, serving as its only direct access point to the Danube and maritime trade routes.
  • B. Băilești
    Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
  • C. Văcărești
    Văcărești is a neighborhood and area in southern Bucharest, Romania, known for its large urban nature park and former reservoir site.
  • D. Bălcești
    Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
  • E. Bușteni
    Bușteni is a Romanian mountain resort town in the Prahova Valley, known for its access to the Bucegi Mountains and popular skiing and hiking opportunities.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acd780c8190b1308ef0aca00f5c completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a040fc5bcac819085d6f513f5db158b completed May 13, 2026, 5:44 a.m.
NEDg Description generation batch_6a04110811d081909638d9b6e88306cf completed May 13, 2026, 5:50 a.m.
NED2 Entity disambiguation (via description) batch_6a04116c6f14819084db2da960fef77a completed May 13, 2026, 5:51 a.m.
Created at: April 10, 2026, 10:09 a.m.