Triple

T10946109
Position Surface form Disambiguated ID Type / Status
Subject Cesena E258600 entity
Predicate twinTown P1072 FINISHED
Object Vânju Mare
Vânju Mare is a small town in southwestern Romania, near the border with Serbia and Bulgaria, known for its agricultural surroundings and local wine production.
 E895634 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: Vânju Mare | Statement: [Cesena, twinTown, Vânju Mare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vânju Mare
Context triple: [Cesena, twinTown, Vânju Mare]
  • A. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • B. Cumbarjua
    Cumbarjua is a legislative assembly constituency located in the North Goa district of the Indian state of Goa.
  • C. Vallon
    Vallon is a small municipality in the canton of Fribourg in western Switzerland.
  • D. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • E. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • 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: Vânju Mare
Triple: [Cesena, twinTown, Vânju Mare]
Generated description
Vânju Mare is a small town in southwestern Romania, near the border with Serbia and Bulgaria, known for its agricultural surroundings and local wine production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vânju Mare
Target entity description: Vânju Mare is a small town in southwestern Romania, near the border with Serbia and Bulgaria, known for its agricultural surroundings and local wine production.
  • A. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • B. Cumbarjua
    Cumbarjua is a legislative assembly constituency located in the North Goa district of the Indian state of Goa.
  • C. Vallon
    Vallon is a small municipality in the canton of Fribourg in western Switzerland.
  • D. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • E. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770e9a89081908979efd1d9e6af66 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c3c885081908edcece772b2e759 completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24542b4f081909c97621f04da8ecc completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f7f96481909fa6e6cd07891566 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.