Triple
T6523313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barolo |
E151240
|
entity |
| Predicate | legalProductionArea |
P63323
|
FINISHED |
| Object |
La Morra
La Morra is a renowned village in Italy’s Piedmont region, celebrated for producing some of the finest Barolo wines.
|
E602057
|
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: La Morra | Statement: [Barolo, legalProductionArea, La Morra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Morra Context triple: [Barolo, legalProductionArea, La Morra]
-
A.
Roccagorga
Roccagorga is a small Italian town and comune in the Lazio region, known for its historic hilltop setting and traditional rural character.
-
B.
Costigliole d’Asti
Costigliole d’Asti is a picturesque municipality in Italy’s Piedmont region, renowned for its wine production and historic hilltop setting.
-
C.
San Vincenzo
San Vincenzo is a coastal town and popular seaside resort on the Tyrrhenian Sea in Tuscany, central Italy.
-
D.
Rocciamelone
Rocciamelone is a prominent mountain peak in the Italian Alps, known for its religious significance and panoramic views over the Susa Valley.
-
E.
Moncalieri
Moncalieri is a historic town near Turin in the Piedmont region of northern Italy, known for its royal Savoy residence and medieval center.
- 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: La Morra Triple: [Barolo, legalProductionArea, La Morra]
Generated description
La Morra is a renowned village in Italy’s Piedmont region, celebrated for producing some of the finest Barolo wines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Morra Target entity description: La Morra is a renowned village in Italy’s Piedmont region, celebrated for producing some of the finest Barolo wines.
-
A.
Roccagorga
Roccagorga is a small Italian town and comune in the Lazio region, known for its historic hilltop setting and traditional rural character.
-
B.
Costigliole d’Asti
Costigliole d’Asti is a picturesque municipality in Italy’s Piedmont region, renowned for its wine production and historic hilltop setting.
-
C.
San Vincenzo
San Vincenzo is a coastal town and popular seaside resort on the Tyrrhenian Sea in Tuscany, central Italy.
-
D.
Rocciamelone
Rocciamelone is a prominent mountain peak in the Italian Alps, known for its religious significance and panoramic views over the Susa Valley.
-
E.
Moncalieri
Moncalieri is a historic town near Turin in the Piedmont region of northern Italy, known for its royal Savoy residence and medieval center.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad970afc81909d3231203eacf413 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb74dfac81908eb44811869450ae |
completed | March 27, 2026, 6:24 p.m. |
| NEDg | Description generation | batch_69c6cd049fac81908c955caa0ccac5ba |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce00096c8190a3015bcd392e0ce4 |
completed | March 27, 2026, 6:35 p.m. |
Created at: March 27, 2026, 1:45 p.m.