Triple
T15858667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varignano Fortress |
E384524
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Varignano
Varignano is a coastal locality in northwestern Italy known for its historic military installations and scenic position along the Ligurian Sea.
|
E1188436
|
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: Varignano | Statement: [Varignano Fortress, locatedIn, Varignano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varignano Context triple: [Varignano Fortress, locatedIn, Varignano]
-
A.
Villarosa
Villarosa is a small municipality in the Province of Enna in central Sicily, Italy, known for its rural character and traditional Sicilian culture.
-
B.
Vezzola
Vezzola is a river in the Abruzzo region of central Italy that flows through the city of Teramo.
-
C.
Contigliano
Contigliano is a small town and comune in the province of Rieti in the Lazio region of central Italy.
-
D.
Carovigno
Carovigno is a historic town and popular tourist destination in Italy’s Apulia region, known for its medieval castle, olive groves, and proximity to the Adriatic coast.
-
E.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
- 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: Varignano Triple: [Varignano Fortress, locatedIn, Varignano]
Generated description
Varignano is a coastal locality in northwestern Italy known for its historic military installations and scenic position along the Ligurian Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varignano Target entity description: Varignano is a coastal locality in northwestern Italy known for its historic military installations and scenic position along the Ligurian Sea.
-
A.
Villarosa
Villarosa is a small municipality in the Province of Enna in central Sicily, Italy, known for its rural character and traditional Sicilian culture.
-
B.
Vezzola
Vezzola is a river in the Abruzzo region of central Italy that flows through the city of Teramo.
-
C.
Contigliano
Contigliano is a small town and comune in the province of Rieti in the Lazio region of central Italy.
-
D.
Carovigno
Carovigno is a historic town and popular tourist destination in Italy’s Apulia region, known for its medieval castle, olive groves, and proximity to the Adriatic coast.
-
E.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555956ec8190b13602a177e7a2bb |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3b717c88190b974a44470136ff2 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc5444c1c8190854de5575b9ec1c5 |
completed | May 9, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5b95290819098b28c44c22b2799 |
completed | May 9, 2026, 11:39 p.m. |
Created at: April 10, 2026, 4:50 a.m.