Triple
T14759999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recanati |
E346831
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object |
Montefano
Montefano is a small historic town in Italy’s Marche region, known for its hilltop setting and traditional rural character.
|
E1132633
|
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: Montefano | Statement: [Recanati, sharesBorderWith, Montefano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montefano Context triple: [Recanati, sharesBorderWith, Montefano]
-
A.
Montefortino
Montefortino is a small historic town in Italy’s Marche region, known for its scenic Apennine mountain setting and traditional rural character.
-
B.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
C.
Terranuova Bracciolini
Terranuova Bracciolini is a town in Tuscany, Italy, best known as the birthplace of the early Renaissance humanist and scholar Poggio Bracciolini.
-
D.
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.
-
E.
Seregno
Seregno is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to Milan.
- 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: Montefano Triple: [Recanati, sharesBorderWith, Montefano]
Generated description
Montefano is a small historic town in Italy’s Marche region, known for its hilltop setting and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montefano Target entity description: Montefano is a small historic town in Italy’s Marche region, known for its hilltop setting and traditional rural character.
-
A.
Montefortino
Montefortino is a small historic town in Italy’s Marche region, known for its scenic Apennine mountain setting and traditional rural character.
-
B.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
C.
Terranuova Bracciolini
Terranuova Bracciolini is a town in Tuscany, Italy, best known as the birthplace of the early Renaissance humanist and scholar Poggio Bracciolini.
-
D.
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.
-
E.
Seregno
Seregno is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to Milan.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dbced588190ab7712c7ad50ee67 |
completed | May 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fe9e22453481909511619da9e319d5 |
completed | May 9, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9e610f788190bc33d8b8d7d718a2 |
completed | May 9, 2026, 2:39 a.m. |
Created at: April 10, 2026, 1:30 a.m.