Triple

T7341834
Position Surface form Disambiguated ID Type / Status
Subject Saul Lieberman E169270 entity
Predicate birthPlace P1 FINISHED
Object Motele
Motele is a small town in present-day Belarus, historically part of the Pale of Settlement and home to a notable Jewish community.
 E656503 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: Motele | Statement: [Saul Lieberman, birthPlace, Motele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Motele
Context triple: [Saul Lieberman, birthPlace, Motele]
  • A. Anhembi
    Anhembi is a municipality in the state of São Paulo, Brazil, known for its riverside setting and regional cultural traditions.
  • B. Dimbola Lodge
    Dimbola Lodge is a historic house and museum on the Isle of Wight best known as the former home and studio of pioneering Victorian photographer Julia Margaret Cameron.
  • C. Phalaborwa
    Phalaborwa is a mining and tourism town in northeastern South Africa, known as a gateway to Kruger National Park and for its rich copper and phosphate deposits.
  • D. Nyankumbu
    Nyankumbu is a settlement located within Tanzania's Geita Region in East Africa.
  • E. Eshowe
    Eshowe is a historic town in South Africa’s KwaZulu-Natal province, notable as a center of Zulu history and colonial-era conflict.
  • 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: Motele
Triple: [Saul Lieberman, birthPlace, Motele]
Generated description
Motele is a small town in present-day Belarus, historically part of the Pale of Settlement and home to a notable Jewish community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Motele
Target entity description: Motele is a small town in present-day Belarus, historically part of the Pale of Settlement and home to a notable Jewish community.
  • A. Anhembi
    Anhembi is a municipality in the state of São Paulo, Brazil, known for its riverside setting and regional cultural traditions.
  • B. Dimbola Lodge
    Dimbola Lodge is a historic house and museum on the Isle of Wight best known as the former home and studio of pioneering Victorian photographer Julia Margaret Cameron.
  • C. Phalaborwa
    Phalaborwa is a mining and tourism town in northeastern South Africa, known as a gateway to Kruger National Park and for its rich copper and phosphate deposits.
  • D. Nyankumbu
    Nyankumbu is a settlement located within Tanzania's Geita Region in East Africa.
  • E. Eshowe
    Eshowe is a historic town in South Africa’s KwaZulu-Natal province, notable as a center of Zulu history and colonial-era conflict.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0da176081909a40552c6f22087c completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef294f608190ae2ccd45a1ca213a completed March 28, 2026, 3:09 p.m.
NEDg Description generation batch_69c7eff7c7508190aa992d3c9c2a5771 completed March 28, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69c7f0485bd88190ae13fe4f3fe7bb00 completed March 28, 2026, 3:14 p.m.
Created at: March 27, 2026, 3:04 p.m.