Triple
T20612411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urbain |
E506478
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Urbano
Urbano is a masculine given name and surname of Latin origin, used in various Romance-language countries.
|
E1441454
|
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: Urbano | Statement: [Urbain, hasVariant, Urbano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urbano Context triple: [Urbain, hasVariant, Urbano]
-
A.
Centro Urbano
Centro Urbano is the central urban neighborhood and main commercial-residential hub of San Fernando de Henares in the Community of Madrid, Spain.
-
B.
Urbania
Urbania is a 2000 independent psychological drama film that follows a traumatized man wandering New York City in search of the person who committed a violent hate crime against him.
-
C.
Urbania
Urbania is a historic town in Italy’s Marche region, known for its Renaissance architecture, ceramics tradition, and scenic setting in the Apennine foothills.
-
D.
Urban
Urban was an early Christian disciple associated with Babylas of Antioch, likely active in the 3rd-century church of Antioch.
-
E.
Urban
Urban is a common surname of various linguistic origins, notably borne by New Zealand actor Karl Urban.
- 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: Urbano Triple: [Urbain, hasVariant, Urbano]
Generated description
Urbano is a masculine given name and surname of Latin origin, used in various Romance-language countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urbano Target entity description: Urbano is a masculine given name and surname of Latin origin, used in various Romance-language countries.
-
A.
Centro Urbano
Centro Urbano is the central urban neighborhood and main commercial-residential hub of San Fernando de Henares in the Community of Madrid, Spain.
-
B.
Urbania
Urbania is a 2000 independent psychological drama film that follows a traumatized man wandering New York City in search of the person who committed a violent hate crime against him.
-
C.
Urbania
Urbania is a historic town in Italy’s Marche region, known for its Renaissance architecture, ceramics tradition, and scenic setting in the Apennine foothills.
-
D.
Urban
Urban was an early Christian disciple associated with Babylas of Antioch, likely active in the 3rd-century church of Antioch.
-
E.
Urban
Urban is a common surname of various linguistic origins, notably borne by New Zealand actor Karl Urban.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad94dac8190921c7769a649c724 |
completed | April 20, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb10d5a081909175c5da82ab06cc |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bc9cf5a08190b4cacc9c239ee0f4 |
completed | May 16, 2026, 6:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bd08c6988190b643f06650bc83b7 |
completed | May 16, 2026, 6:52 p.m. |
Created at: April 16, 2026, 11:41 a.m.