Triple

T5762623
Position Surface form Disambiguated ID Type / Status
Subject Bender, Ottoman Empire E127131 entity
Predicate alternativeName P39 FINISHED
Object Tighina
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
 E555729 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: Tighina | Statement: [Bender, Ottoman Empire, alternativeName, Tighina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tighina
Context triple: [Bender, Ottoman Empire, alternativeName, Tighina]
  • A. Târgoviște
    Târgoviște is a historic city in southern Romania, known as a former Wallachian capital and the site where Nicolae Ceaușescu was executed in 1989.
  • B. Sinaia
    Sinaia is a Romanian mountain resort town in the Carpathians, famed for Peleș Castle and its historic role as a royal summer residence.
  • C. Tecuci
    Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
  • D. Tarom
    Tarom is Romania's national flag carrier airline, operating domestic and international flights primarily from its hub in Bucharest.
  • E. Baia Mare
    Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
  • 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: Tighina
Triple: [Bender, Ottoman Empire, alternativeName, Tighina]
Generated description
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tighina
Target entity description: Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
  • A. Târgoviște
    Târgoviște is a historic city in southern Romania, known as a former Wallachian capital and the site where Nicolae Ceaușescu was executed in 1989.
  • B. Sinaia
    Sinaia is a Romanian mountain resort town in the Carpathians, famed for Peleș Castle and its historic role as a royal summer residence.
  • C. Tecuci
    Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
  • D. Tarom
    Tarom is Romania's national flag carrier airline, operating domestic and international flights primarily from its hub in Bucharest.
  • E. Baia Mare
    Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0293bbf2081908d40d76c4eb863ae completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfa363208190aac75f028fb7a630 completed March 23, 2026, 4:20 a.m.
NEDg Description generation batch_69c0c2ac2d5881908a327ecee0b05eea completed March 23, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_69c0c3018c248190b30e72f64e188993 completed March 23, 2026, 4:35 a.m.
Created at: March 22, 2026, 3:49 p.m.