Triple

T7812568
Position Surface form Disambiguated ID Type / Status
Subject Dole E180721 entity
Predicate twinnedWith P1072 FINISHED
Object Resita
Resita is an industrial city in western Romania, historically known for its steel production and heavy machinery manufacturing.
 E694674 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: Resita | Statement: [Dole, twinnedWith, Resita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Resita
Context triple: [Dole, twinnedWith, Resita]
  • A. Erisioni
    Erisioni is a renowned Georgian folk song and dance ensemble celebrated for preserving and showcasing Georgia’s traditional music, choreography, and cultural heritage on international stages.
  • B. Mesoraca
    Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
  • C. Rascia
    Rascia is a historical region in the central Balkans that formed the medieval core of the Serbian state.
  • D. Reitoca
    Reitoca is a municipality in southern Honduras known for its rural character and location within the Francisco Morazán Department.
  • E. Resigaro
    Resigaro is an indigenous Arawakan language of the northwestern Amazon, traditionally spoken by a small community in the Peru–Brazil border region and now critically endangered.
  • 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: Resita
Triple: [Dole, twinnedWith, Resita]
Generated description
Resita is an industrial city in western Romania, historically known for its steel production and heavy machinery manufacturing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Resita
Target entity description: Resita is an industrial city in western Romania, historically known for its steel production and heavy machinery manufacturing.
  • A. Erisioni
    Erisioni is a renowned Georgian folk song and dance ensemble celebrated for preserving and showcasing Georgia’s traditional music, choreography, and cultural heritage on international stages.
  • B. Mesoraca
    Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
  • C. Rascia
    Rascia is a historical region in the central Balkans that formed the medieval core of the Serbian state.
  • D. Reitoca
    Reitoca is a municipality in southern Honduras known for its rural character and location within the Francisco Morazán Department.
  • E. Resigaro
    Resigaro is an indigenous Arawakan language of the northwestern Amazon, traditionally spoken by a small community in the Peru–Brazil border region and now critically endangered.
  • 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf78e198c81909d4fd227f6b71082 completed March 30, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb1472ee908190b073819f3dfad8ee completed March 31, 2026, 12:25 a.m.
NEDg Description generation batch_69cb173190a88190b31fd7973bc19d43 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a56d25881908b8413b82edf5508 completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:38 p.m.