Triple
T15676201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavagna |
E377450
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Lavagnesi
Lavagnesi are the inhabitants or natives of Lavagna, a coastal town in the Liguria region of northwestern Italy.
|
E1182262
|
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: Lavagnesi | Statement: [Lavagna, hasDemonym, Lavagnesi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavagnesi Context triple: [Lavagna, hasDemonym, Lavagnesi]
-
A.
Careggine
Careggine is a small mountain village and comune in Tuscany, central Italy, known for its scenic Apennine setting and traditional rural character.
-
B.
Varazze
Varazze is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
-
C.
Savignano Mare
Savignano Mare is a seaside resort locality on the Adriatic coast of Italy, forming the coastal area of the municipality of Savignano sul Rubicone in Emilia-Romagna.
-
D.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
E.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
- 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: Lavagnesi Triple: [Lavagna, hasDemonym, Lavagnesi]
Generated description
Lavagnesi are the inhabitants or natives of Lavagna, a coastal town in the Liguria region of northwestern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lavagnesi Target entity description: Lavagnesi are the inhabitants or natives of Lavagna, a coastal town in the Liguria region of northwestern Italy.
-
A.
Careggine
Careggine is a small mountain village and comune in Tuscany, central Italy, known for its scenic Apennine setting and traditional rural character.
-
B.
Varazze
Varazze is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
-
C.
Savignano Mare
Savignano Mare is a seaside resort locality on the Adriatic coast of Italy, forming the coastal area of the municipality of Savignano sul Rubicone in Emilia-Romagna.
-
D.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
E.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0335a0c8190ade4c2f78df3d113 |
completed | May 9, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69ffb0be9fa88190ab691c4c1d845ea9 |
completed | May 9, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb12f3e4c8190be983f00ae1d5160 |
completed | May 9, 2026, 10:11 p.m. |
Created at: April 10, 2026, 4:16 a.m.