Triple
T7783563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pesaro |
E187184
|
entity |
| Predicate | governedBy |
P46
|
FINISHED |
| Object |
Comune di Pesaro
Comune di Pesaro is the municipal government authority responsible for administering the city of Pesaro in Italy.
|
E693461
|
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: Comune di Pesaro | Statement: [Pesaro, governedBy, Comune di Pesaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comune di Pesaro Context triple: [Pesaro, governedBy, Comune di Pesaro]
-
A.
Comune di Pisa
Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
-
B.
Comune di Parma
Comune di Parma is the municipal government and administrative body responsible for managing the city of Parma in northern Italy.
-
C.
Comune di Grosseto
Comune di Grosseto is the municipal administrative authority responsible for governing the city of Grosseto in Tuscany, Italy.
-
D.
Comune di Perugia
Comune di Perugia is the municipal government and administrative jurisdiction of the city of Perugia, the historic capital of Italy’s Umbria region.
-
E.
Comune di Arezzo
Comune di Arezzo is the municipal government and administrative authority responsible for managing the city of Arezzo in Tuscany, 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: Comune di Pesaro Triple: [Pesaro, governedBy, Comune di Pesaro]
Generated description
Comune di Pesaro is the municipal government authority responsible for administering the city of Pesaro in Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Comune di Pesaro Target entity description: Comune di Pesaro is the municipal government authority responsible for administering the city of Pesaro in Italy.
-
A.
Comune di Pisa
Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
-
B.
Comune di Parma
Comune di Parma is the municipal government and administrative body responsible for managing the city of Parma in northern Italy.
-
C.
Comune di Grosseto
Comune di Grosseto is the municipal administrative authority responsible for governing the city of Grosseto in Tuscany, Italy.
-
D.
Comune di Perugia
Comune di Perugia is the municipal government and administrative jurisdiction of the city of Perugia, the historic capital of Italy’s Umbria region.
-
E.
Comune di Arezzo
Comune di Arezzo is the municipal government and administrative authority responsible for managing the city of Arezzo in Tuscany, 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cadf1f9c648190ac2b06d0d54035ea |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5e400d881909d6cdeb7eaac3a59 |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ebde881909bd131da8987b449 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa013f348190a2067dee4a0c8c40 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:22 p.m.