Triple
T12820433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfonso Maria Fusco |
E306512
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Angri
Angri is a town and comune in the Campania region of southern Italy, located in the province of Salerno near the Amalfi Coast.
|
E1004030
|
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: Angri | Statement: [Alfonso Maria Fusco, birthPlace, Angri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angri Context triple: [Alfonso Maria Fusco, birthPlace, Angri]
-
A.
Njutånger
Njutånger is a small locality in Gävleborg County, Sweden, known for its rural character and coastal proximity within the region of Hälsingland.
-
B.
Tungelsta
Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
-
C.
Reisaelva
Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
-
D.
Yungay
Yungay is a town in north-central Peru known for being devastated by a catastrophic earthquake and landslide in 1970, after which a new settlement was built nearby.
-
E.
Yungay
Yungay is a small Chilean city located in the Ñuble Region, known for its agricultural surroundings and Andean foothill landscapes.
- 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: Angri Triple: [Alfonso Maria Fusco, birthPlace, Angri]
Generated description
Angri is a town and comune in the Campania region of southern Italy, located in the province of Salerno near the Amalfi Coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angri Target entity description: Angri is a town and comune in the Campania region of southern Italy, located in the province of Salerno near the Amalfi Coast.
-
A.
Njutånger
Njutånger is a small locality in Gävleborg County, Sweden, known for its rural character and coastal proximity within the region of Hälsingland.
-
B.
Tungelsta
Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
-
C.
Reisaelva
Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
-
D.
Yungay
Yungay is a town in north-central Peru known for being devastated by a catastrophic earthquake and landslide in 1970, after which a new settlement was built nearby.
-
E.
Yungay
Yungay is a small Chilean city located in the Ñuble Region, known for its agricultural surroundings and Andean foothill landscapes.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9e5a2481908921d097df541db8 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ed165188190a4cac781c753fb23 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f68f8d2ca08190a385635fb6130a9f |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69033a66481908bf4ae23fced5983 |
completed | May 3, 2026, midnight |
Created at: April 9, 2026, 5:31 p.m.