Triple

T6938209
Position Surface form Disambiguated ID Type / Status
Subject Bucharest Metro E160604 entity
Predicate hasStation P35 FINISHED
Object Victoriei
Victoriei is a major Bucharest Metro interchange station serving as an important transit hub in Romania’s capital city.
 E629464 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: Victoriei | Statement: [Bucharest Metro, hasStation, Victoriei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Victoriei
Context triple: [Bucharest Metro, hasStation, Victoriei]
  • A. Viktoria
    Viktoria is a feminine given name of Latin origin, commonly used in various European countries as a variant of "Victoria."
  • B. Victoire
    Victoire is a French feminine given name historically borne by royalty and nobility, derived from the Latin word for "victory."
  • C. Vence
    Vence is a picturesque hilltop town in the Alpes-Maritimes region of southeastern France, renowned for its medieval old town and its association with modern artists and writers.
  • D. La Victoire
    La Victoire is a small commune located in the northern region of Haiti, known for its rural character and agricultural activities.
  • E. Vittoria
    Vittoria is the Italian form of the name Victoria, commonly used as a female given name and place name in Italy.
  • 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: Victoriei
Triple: [Bucharest Metro, hasStation, Victoriei]
Generated description
Victoriei is a major Bucharest Metro interchange station serving as an important transit hub in Romania’s capital city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Victoriei
Target entity description: Victoriei is a major Bucharest Metro interchange station serving as an important transit hub in Romania’s capital city.
  • A. Viktoria
    Viktoria is a feminine given name of Latin origin, commonly used in various European countries as a variant of "Victoria."
  • B. Victoire
    Victoire is a French feminine given name historically borne by royalty and nobility, derived from the Latin word for "victory."
  • C. Vence
    Vence is a picturesque hilltop town in the Alpes-Maritimes region of southeastern France, renowned for its medieval old town and its association with modern artists and writers.
  • D. La Victoire
    La Victoire is a small commune located in the northern region of Haiti, known for its rural character and agricultural activities.
  • E. Vittoria
    Vittoria is the Italian form of the name Victoria, commonly used as a female given name and place name in Italy.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da62d2f88190968d3fea538a95c9 completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515509148190b5739cdf8cd7a28a completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c752c9b3d08190960d3c1aa88a93a7 completed March 28, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69c7537ea24c819081bb672d43d4a373 completed March 28, 2026, 4:05 a.m.
Created at: March 27, 2026, 2:28 p.m.