Triple
T14347128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montefiascone |
E355753
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Montefiasconesi
Montefiasconesi are the inhabitants or natives of Montefiascone, a historic town in the Lazio region of central Italy.
|
E1092725
|
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: Montefiasconesi | Statement: [Montefiascone, hasDemonym, Montefiasconesi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montefiasconesi Context triple: [Montefiascone, hasDemonym, Montefiasconesi]
-
A.
Piacentini
Piacentini are the inhabitants or natives of the Italian city of Piacenza, located in the Emilia-Romagna region.
-
B.
Frascatani
Frascatani are the inhabitants or natives of Frascati, a historic town in the Lazio region near Rome, Italy.
-
C.
Palagiano
Palagiano is a town and comune in the Apulia region of southern Italy, known for its agricultural production and location near the Ionian coast in the Province of Taranto.
-
D.
Zuccoli
Zuccoli is a residential suburb located within the greater Darwin metropolitan area in the Northern Territory of Australia.
-
E.
Marsciano
Marsciano is a town and comune in the Umbria region of central Italy, known for its medieval historic center and agricultural surroundings.
- 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: Montefiasconesi Triple: [Montefiascone, hasDemonym, Montefiasconesi]
Generated description
Montefiasconesi are the inhabitants or natives of Montefiascone, a historic town in the Lazio region of central Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montefiasconesi Target entity description: Montefiasconesi are the inhabitants or natives of Montefiascone, a historic town in the Lazio region of central Italy.
-
A.
Piacentini
Piacentini are the inhabitants or natives of the Italian city of Piacenza, located in the Emilia-Romagna region.
-
B.
Frascatani
Frascatani are the inhabitants or natives of Frascati, a historic town in the Lazio region near Rome, Italy.
-
C.
Palagiano
Palagiano is a town and comune in the Apulia region of southern Italy, known for its agricultural production and location near the Ionian coast in the Province of Taranto.
-
D.
Zuccoli
Zuccoli is a residential suburb located within the greater Darwin metropolitan area in the Northern Territory of Australia.
-
E.
Marsciano
Marsciano is a town and comune in the Umbria region of central Italy, known for its medieval historic center and agricultural surroundings.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8b81bc8190ace2a575faf55cc0 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46a12ad08190a2f0dc5890ed5ce9 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd4768edc881909a0c586b6d9568a3 |
completed | May 8, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd47eb7db08190a68f60b255073d8d |
completed | May 8, 2026, 2:18 a.m. |
Created at: April 10, 2026, 1:14 a.m.