Triple
T6845290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Terni |
E157878
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Avigliano Umbro
Avigliano Umbro is a small municipality in the Umbria region of central Italy, known for its rural landscape and traditional Italian village character.
|
E636923
|
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: Avigliano Umbro | Statement: [Province of Terni, contains, Avigliano Umbro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avigliano Umbro Context triple: [Province of Terni, contains, Avigliano Umbro]
-
A.
Montecastrilli
Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
-
B.
Avezzano
Avezzano is a central Italian city in the Abruzzo region, known as an important agricultural and commercial hub in the Fucino plain.
-
C.
Ceccano
Ceccano is a historic town and comune in the Lazio region of central Italy, situated in the Province of Frosinone along the Sacco River.
-
D.
Putignano
Putignano is a historic town in southern Italy’s Apulia region, best known for hosting one of Europe’s oldest and longest-running Carnival celebrations.
-
E.
Celano
Celano is a historic town in Italy’s Abruzzo region, known for its medieval Piccolomini Castle overlooking the Fucino plain.
- 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: Avigliano Umbro Triple: [Province of Terni, contains, Avigliano Umbro]
Generated description
Avigliano Umbro is a small municipality in the Umbria region of central Italy, known for its rural landscape and traditional Italian village character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avigliano Umbro Target entity description: Avigliano Umbro is a small municipality in the Umbria region of central Italy, known for its rural landscape and traditional Italian village character.
-
A.
Montecastrilli
Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
-
B.
Avezzano
Avezzano is a central Italian city in the Abruzzo region, known as an important agricultural and commercial hub in the Fucino plain.
-
C.
Ceccano
Ceccano is a historic town and comune in the Lazio region of central Italy, situated in the Province of Frosinone along the Sacco River.
-
D.
Putignano
Putignano is a historic town in southern Italy’s Apulia region, best known for hosting one of Europe’s oldest and longest-running Carnival celebrations.
-
E.
Celano
Celano is a historic town in Italy’s Abruzzo region, known for its medieval Piccolomini Castle overlooking the Fucino plain.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ca96008190ba79563c2a9a9b0e |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7752f047481908fb58112d783ba1e |
completed | March 28, 2026, 6:29 a.m. |
| NEDg | Description generation | batch_69c7771599888190a08cfe512facbe2e |
completed | March 28, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c777b57cf08190899793bd70fef745 |
completed | March 28, 2026, 6:39 a.m. |
Created at: March 27, 2026, 2:19 p.m.