Triple
T10201396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urban |
E238890
|
entity |
| Predicate | derivedFromGivenName |
P17
|
FINISHED |
| Object |
Urbanus
Urbanus is a masculine given name of Latin origin historically borne by several popes and saints.
|
E847421
|
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: Urbanus | Statement: [Urban, derivedFromGivenName, Urbanus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urbanus Context triple: [Urban, derivedFromGivenName, Urbanus]
-
A.
Vetus Urbs
Vetus Urbs is the ancient core district of the Roman city of Italica, encompassing its earliest urban remains and historic center.
-
B.
Dorian Hexapolis
Dorian Hexapolis was a confederation of six ancient Dorian Greek cities that formed a religious and political league centered around shared cults and festivals.
-
C.
Panopolis
Panopolis was an important ancient Egyptian city in the Thebaid region, known as a regional administrative and religious center.
-
D.
Aurelianum
Aurelianum is the ancient Latin name for the French city of Orléans, reflecting its origins as a Roman settlement.
-
E.
Cívitas
Cívitas is a Spanish real estate and urban development company known for its naming-rights sponsorship of Atlético Madrid’s Metropolitano Stadium.
- 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: Urbanus Triple: [Urban, derivedFromGivenName, Urbanus]
Generated description
Urbanus is a masculine given name of Latin origin historically borne by several popes and saints.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urbanus Target entity description: Urbanus is a masculine given name of Latin origin historically borne by several popes and saints.
-
A.
Vetus Urbs
Vetus Urbs is the ancient core district of the Roman city of Italica, encompassing its earliest urban remains and historic center.
-
B.
Dorian Hexapolis
Dorian Hexapolis was a confederation of six ancient Dorian Greek cities that formed a religious and political league centered around shared cults and festivals.
-
C.
Panopolis
Panopolis was an important ancient Egyptian city in the Thebaid region, known as a regional administrative and religious center.
-
D.
Aurelianum
Aurelianum is the ancient Latin name for the French city of Orléans, reflecting its origins as a Roman settlement.
-
E.
Cívitas
Cívitas is a Spanish real estate and urban development company known for its naming-rights sponsorship of Atlético Madrid’s Metropolitano Stadium.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee40cb7481908a1bf4d5636eb8ef |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317f40f0c8190a3d966c934cc20f7 |
completed | April 6, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69d3188886908190ba0a5539ce942980 |
completed | April 6, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d31c4fb8288190bbc6b3d4a79dafb1 |
completed | April 6, 2026, 2:37 a.m. |
Created at: March 30, 2026, 9:14 p.m.