Triple
T9640712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Pistoia |
E233056
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Chiesina Uzzanese
Chiesina Uzzanese is a small Italian municipality in Tuscany known for its agricultural surroundings and location within the Valdinievole area.
|
E812647
|
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: Chiesina Uzzanese | Statement: [Province of Pistoia, contains, Chiesina Uzzanese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiesina Uzzanese Context triple: [Province of Pistoia, contains, Chiesina Uzzanese]
-
A.
Baschi
Baschi is a small Italian municipality in the Umbria region, known for its medieval historic center and scenic position near the Tiber River.
-
B.
Collevecchio
Collevecchio is a small historic town in the Lazio region of central Italy, known for its hilltop setting and traditional rural character.
-
C.
Cascia
Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
-
D.
Chiaramonti
Chiaramonti is the Italian noble family from which Pope Pius VII originated.
-
E.
Canosini
Canosini are the inhabitants or natives of Canosa di Puglia, a historic town in the Apulia region of southern 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: Chiesina Uzzanese Triple: [Province of Pistoia, contains, Chiesina Uzzanese]
Generated description
Chiesina Uzzanese is a small Italian municipality in Tuscany known for its agricultural surroundings and location within the Valdinievole area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chiesina Uzzanese Target entity description: Chiesina Uzzanese is a small Italian municipality in Tuscany known for its agricultural surroundings and location within the Valdinievole area.
-
A.
Baschi
Baschi is a small Italian municipality in the Umbria region, known for its medieval historic center and scenic position near the Tiber River.
-
B.
Collevecchio
Collevecchio is a small historic town in the Lazio region of central Italy, known for its hilltop setting and traditional rural character.
-
C.
Cascia
Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
-
D.
Chiaramonti
Chiaramonti is the Italian noble family from which Pope Pius VII originated.
-
E.
Canosini
Canosini are the inhabitants or natives of Canosa di Puglia, a historic town in the Apulia region of southern 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b552a1c81909a1fab347110eeb1 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18248ffe4819095d4ea20951eca01 |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d1864bd0b881908806762ce9df3029 |
completed | April 4, 2026, 9:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d186d03eac8190a1080d5c25f4643c |
completed | April 4, 2026, 9:46 p.m. |
Created at: March 30, 2026, 8:12 p.m.