Triple

T3333457
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg City E70084 entity
Predicate twinCity P1072 FINISHED
Object Tambov
Tambov is a city in western Russia known as an administrative, cultural, and industrial center of the Tambov Oblast.
 E514739 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: Tambov | Statement: [Luxembourg City, twinCity, Tambov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tambov
Context triple: [Luxembourg City, twinCity, Tambov]
  • A. Belgorod
    Belgorod is a city in western Russia near the Ukrainian border, historically significant as a strategic site of major World War II battles and offensives.
  • B. Voronezh
    Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
  • C. Ryazan
    Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
  • D. Penza
    Penza is a city in western Russia known as a regional cultural and industrial center.
  • E. Kaluga
    Kaluga is a historic city in western Russia known as a regional administrative center and an important site in several Russian uprisings and military campaigns.
  • 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: Tambov
Triple: [Luxembourg City, twinCity, Tambov]
Generated description
Tambov is a city in western Russia known as an administrative, cultural, and industrial center of the Tambov Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tambov
Target entity description: Tambov is a city in western Russia known as an administrative, cultural, and industrial center of the Tambov Oblast.
  • A. Belgorod
    Belgorod is a city in western Russia near the Ukrainian border, historically significant as a strategic site of major World War II battles and offensives.
  • B. Voronezh
    Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
  • C. Ryazan
    Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
  • D. Penza
    Penza is a city in western Russia known as a regional cultural and industrial center.
  • E. Kaluga
    Kaluga is a historic city in western Russia known as a regional administrative center and an important site in several Russian uprisings and military campaigns.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb194960081909333c855f06d8b03 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf28e228608190a531da6024803e1b completed March 21, 2026, 11:25 p.m.
NEDg Description generation batch_69bf29643ec88190b849eca03e6480c8 completed March 21, 2026, 11:27 p.m.
NED2 Entity disambiguation (via description) batch_69bf29bb3a9c8190827773c7057ce55a completed March 21, 2026, 11:28 p.m.
Created at: March 8, 2026, 3:12 p.m.