Triple
T10962548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amalfi |
E259010
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Amalfitani |
E259010
|
NE FINISHED |
How this triple was built (2 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: Amalfitani | Statement: [Amalfi, demonym, Amalfitani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amalfitani Context triple: [Amalfi, demonym, Amalfitani]
-
A.
Amalfi
chosen
Amalfi is a historic coastal town in southern Italy’s Campania region, famed as a former powerful maritime republic and now a popular tourist destination on the Amalfi Coast.
-
B.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
C.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
D.
Caltagironesi
Caltagironesi are the inhabitants of Caltagirone, a Sicilian town renowned for its historic ceramics and baroque architecture.
-
E.
Apricale
Apricale is a picturesque medieval hilltop village in the Ligurian region of northwestern Italy, known for its stone houses, narrow alleys, and scenic views.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7714714c88190926ebd48b09150c6 |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d761d3c48190af8e0aedf96ee99f |
completed | April 18, 2026, 12:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.