Triple
T13766212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Ascoli Piceno |
E330748
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Massignano
Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
|
E1058620
|
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: Massignano | Statement: [Province of Ascoli Piceno, contains, Massignano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massignano Context triple: [Province of Ascoli Piceno, contains, Massignano]
-
A.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
B.
Triggiano
Triggiano is a town and comune in the Apulia region of southern Italy, situated near the city of Bari.
-
C.
Petrosino
Petrosino is a small coastal town and comune in western Sicily, Italy, known for its agricultural production and seaside location near Marsala.
-
D.
Reggiani
Reggiani are the inhabitants or natives of the Italian city of Reggio Emilia, known for their rich culinary traditions and contributions to art and culture in the Emilia-Romagna region.
-
E.
Barrese
Barrese is a surname most notably associated with American actress and former professional poker player Sasha Barrese.
- 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: Massignano Triple: [Province of Ascoli Piceno, contains, Massignano]
Generated description
Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Massignano Target entity description: Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
-
A.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
B.
Triggiano
Triggiano is a town and comune in the Apulia region of southern Italy, situated near the city of Bari.
-
C.
Petrosino
Petrosino is a small coastal town and comune in western Sicily, Italy, known for its agricultural production and seaside location near Marsala.
-
D.
Reggiani
Reggiani are the inhabitants or natives of the Italian city of Reggio Emilia, known for their rich culinary traditions and contributions to art and culture in the Emilia-Romagna region.
-
E.
Barrese
Barrese is a surname most notably associated with American actress and former professional poker player Sasha Barrese.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0227f2c48190983ccc9395e4e7a2 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a864c0ac81909e5fcd134ea66414 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a94390988190bcaedcda0b691fbb |
completed | May 3, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a9fe250c8190b66062e7fcea8d86 |
completed | May 3, 2026, 8:03 p.m. |
Created at: April 9, 2026, 10:10 p.m.