Triple
T13766211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Ascoli Piceno |
E330748
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Monterubbiano
Monterubbiano is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
|
E1092136
|
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: Monterubbiano | Statement: [Province of Ascoli Piceno, contains, Monterubbiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monterubbiano Context triple: [Province of Ascoli Piceno, contains, Monterubbiano]
-
A.
Ariccia
Ariccia is a historic town in the Alban Hills near Rome, known for its Baroque architecture and traditional porchetta.
-
B.
Vetralla
Vetralla is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and location along the ancient Via Cassia.
-
C.
Montecastrilli
Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
-
D.
Vicopisano
Vicopisano is a historic Tuscan town in central Italy known for its medieval architecture and scenic setting near the Arno River.
-
E.
Cascia
Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
- 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: Monterubbiano Triple: [Province of Ascoli Piceno, contains, Monterubbiano]
Generated description
Monterubbiano is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monterubbiano Target entity description: Monterubbiano is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
-
A.
Ariccia
Ariccia is a historic town in the Alban Hills near Rome, known for its Baroque architecture and traditional porchetta.
-
B.
Vetralla
Vetralla is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and location along the ancient Via Cassia.
-
C.
Montecastrilli
Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
-
D.
Vicopisano
Vicopisano is a historic Tuscan town in central Italy known for its medieval architecture and scenic setting near the Arno River.
-
E.
Cascia
Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
- 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_69fd3cfae6bc8190ac6851a3fa2dfb12 |
completed | May 8, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69fd40d73d588190a85e2d58a2c37473 |
completed | May 8, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd412812a08190ae113d4dd257d453 |
completed | May 8, 2026, 1:49 a.m. |
Created at: April 9, 2026, 10:10 p.m.