Triple
T22010274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campanian plain |
E543554
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
San Tammaro
San Tammaro is a small municipality in Italy’s Campania region, situated in the fertile Campanian plain near Caserta.
|
E1514463
|
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: San Tammaro | Statement: [Campanian plain, hasMajorCity, San Tammaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Tammaro Context triple: [Campanian plain, hasMajorCity, San Tammaro]
-
A.
San Donaci
San Donaci is a small town and comune in the Apulia region of southern Italy, known for its agricultural economy and production of wine and olive oil.
-
B.
San Leolino
San Leolino is a small locality within the municipality of Bucine in Tuscany, central Italy, known for its rural setting and historic character.
-
C.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
D.
Solitano
Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
-
E.
San Emigdio
San Emigdio is a municipality in the La Paz Department of El Salvador, known as a small local administrative and rural community 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: San Tammaro Triple: [Campanian plain, hasMajorCity, San Tammaro]
Generated description
San Tammaro is a small municipality in Italy’s Campania region, situated in the fertile Campanian plain near Caserta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Tammaro Target entity description: San Tammaro is a small municipality in Italy’s Campania region, situated in the fertile Campanian plain near Caserta.
-
A.
San Donaci
San Donaci is a small town and comune in the Apulia region of southern Italy, known for its agricultural economy and production of wine and olive oil.
-
B.
San Leolino
San Leolino is a small locality within the municipality of Bucine in Tuscany, central Italy, known for its rural setting and historic character.
-
C.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
D.
Solitano
Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
-
E.
San Emigdio
San Emigdio is a municipality in the La Paz Department of El Salvador, known as a small local administrative and rural community 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a4338c8190836074d21bfbaf78 |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7376d19481909aa40216cf57c568 |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a74e81da881908c73d864258dcdd5 |
completed | May 18, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a75cbb2408190b058713432b048a2 |
completed | May 18, 2026, 2:13 a.m. |
Created at: April 16, 2026, 8:22 p.m.