Triple
T23402080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Biella |
E559532
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Masserano
Masserano is a small historic municipality in Italy’s Piedmont region, known for its medieval architecture and former status as a feudal principality.
|
E1583796
|
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: Masserano | Statement: [Province of Biella, contains, Masserano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masserano Context triple: [Province of Biella, contains, Masserano]
-
A.
Muggiano
Muggiano is a coastal district and shipbuilding center in La Spezia, Italy, known for its major naval shipyard.
-
B.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
C.
Randazzo
Randazzo is a historic medieval town in eastern Sicily, Italy, known for its lava-stone architecture and proximity to Mount Etna.
-
D.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
E.
Rapagnano
Rapagnano is a small Italian municipality in the Marche region known for its historic hilltop setting and traditional rural character.
- 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: Masserano Triple: [Province of Biella, contains, Masserano]
Generated description
Masserano is a small historic municipality in Italy’s Piedmont region, known for its medieval architecture and former status as a feudal principality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Masserano Target entity description: Masserano is a small historic municipality in Italy’s Piedmont region, known for its medieval architecture and former status as a feudal principality.
-
A.
Muggiano
Muggiano is a coastal district and shipbuilding center in La Spezia, Italy, known for its major naval shipyard.
-
B.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
C.
Randazzo
Randazzo is a historic medieval town in eastern Sicily, Italy, known for its lava-stone architecture and proximity to Mount Etna.
-
D.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
E.
Rapagnano
Rapagnano is a small Italian municipality in the Marche region known for its historic hilltop setting and traditional rural character.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e09ccc81909869d2c5f6d68432 |
completed | April 29, 2026, 6:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5df382b481908b7b2933cfc9e182 |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c5f3e57308190865e48b43cc83d10 |
completed | May 19, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5ffbea40819088a5a01a3763c718 |
completed | May 19, 2026, 1:05 p.m. |
Created at: April 17, 2026, 5:37 p.m.