Triple

T37193509
Position Surface form Disambiguated ID Type / Status
Subject Roșiorii de Vede E921527 entity
Predicate adminCenterOf P18611 FINISHED
Object Roșiorii de Vede municipality
Roșiorii de Vede municipality is an administrative unit in southern Romania centered on the town of Roșiorii de Vede in Teleorman County.
E2217146 NE FINISHED

How this triple was built (2 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: Roșiorii de Vede municipality | Statement: [Roșiorii de Vede, adminCenterOf, Roșiorii de Vede municipality]
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: Roșiorii de Vede municipality
Triple: [Roșiorii de Vede, adminCenterOf, Roșiorii de Vede municipality]
Generated description
Roșiorii de Vede municipality is an administrative unit in southern Romania centered on the town of Roșiorii de Vede in Teleorman County.

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_69f76ea313a08190a54404cd1e47da90 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb363fb2308190b59eb2031025ce2e completed May 6, 2026, 12:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40361768a88190ab0fc27efbc5e1d8 completed June 27, 2026, 8:44 p.m.
NEDg Description generation batch_6a4036aa606081908c37cae19a44be22 completed June 27, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_6a4038210f388190a2546f1de996a3db completed June 27, 2026, 8:52 p.m.
Created at: May 3, 2026, 4:15 p.m.