Triple
T13553594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concesio |
E323711
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Concesiani
Concesiani are the inhabitants or natives of Concesio, a town in the Lombardy region of northern Italy.
|
E1047358
|
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: Concesiani | Statement: [Concesio, hasDemonym, Concesiani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Concesiani Context triple: [Concesio, hasDemonym, Concesiani]
-
A.
Piave Lines
Piave Lines is a military accommodation and training area within Catterick Garrison, one of the major British Army bases in North Yorkshire, England.
-
B.
Boncompagni
Boncompagni is an Italian noble family historically notable for producing Pope Gregory XIII and for its influence in Renaissance Rome.
-
C.
Tramvia Metropolità S.A.
Tramvia Metropolità S.A. is the company responsible for managing and operating parts of the modern tram network serving the Barcelona metropolitan area.
-
D.
Metropolitana
Metropolitana is the principal coastal metropolitan region of the Brazilian state of Espírito Santo, encompassing its capital and surrounding urban areas.
-
E.
Marchetti
Marchetti is an Italian surname borne by various notable figures in sports, arts, and public life.
- 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: Concesiani Triple: [Concesio, hasDemonym, Concesiani]
Generated description
Concesiani are the inhabitants or natives of Concesio, a town in the Lombardy region of northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Concesiani Target entity description: Concesiani are the inhabitants or natives of Concesio, a town in the Lombardy region of northern Italy.
-
A.
Piave Lines
Piave Lines is a military accommodation and training area within Catterick Garrison, one of the major British Army bases in North Yorkshire, England.
-
B.
Boncompagni
Boncompagni is an Italian noble family historically notable for producing Pope Gregory XIII and for its influence in Renaissance Rome.
-
C.
Tramvia Metropolità S.A.
Tramvia Metropolità S.A. is the company responsible for managing and operating parts of the modern tram network serving the Barcelona metropolitan area.
-
D.
Metropolitana
Metropolitana is the principal coastal metropolitan region of the Brazilian state of Espírito Santo, encompassing its capital and surrounding urban areas.
-
E.
Marchetti
Marchetti is an Italian surname borne by various notable figures in sports, arts, and public life.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff1c1f0819084352d9b2ee13d7a |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da721208190a3f5159125dbde9a |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75ec5101081909652b0c0998b36c8 |
completed | May 3, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f4a3b0c81908c0ca0351771953b |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:46 p.m.