Triple
T13596121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Pesaro e Urbino |
E324823
|
entity |
| Predicate | regionSeat |
P29359
|
FINISHED |
| Object |
Ancona
Ancona is a historic port city on Italy’s Adriatic coast and the capital of the Marche region.
|
E75439
|
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: Ancona | Statement: [Province of Pesaro e Urbino, regionSeat, Ancona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ancona Context triple: [Province of Pesaro e Urbino, regionSeat, Ancona]
-
A.
Ancona
Ancona is a historic port city on Italy’s Adriatic coast, notable for its long-standing Jewish community and role as a commercial and cultural crossroads.
-
B.
Rimini
Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
-
C.
Pescara
Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
-
D.
Pesaro
Pesaro is a coastal city on Italy’s Adriatic Sea, known for its Renaissance architecture, seaside resorts, and as the birthplace of composer Gioachino Rossini.
-
E.
Rovigo
Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
- 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: Ancona Triple: [Province of Pesaro e Urbino, regionSeat, Ancona]
Generated description
Ancona is a historic port city on Italy’s Adriatic coast and the capital of the Marche region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ancona Target entity description: Ancona is a historic port city on Italy’s Adriatic coast and the capital of the Marche region.
-
A.
Ancona
chosen
Ancona is a historic port city on Italy’s Adriatic coast, notable for its long-standing Jewish community and role as a commercial and cultural crossroads.
-
B.
Rimini
Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
-
C.
Pescara
Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
-
D.
Pesaro
Pesaro is a coastal city on Italy’s Adriatic Sea, known for its Renaissance architecture, seaside resorts, and as the birthplace of composer Gioachino Rossini.
-
E.
Rovigo
Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
- F. None of above.
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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0590558819080ccc5874a650b1e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf06a3e208190a24e6cd9cb97e99c |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf15993e88190af2915db1584dfa1 |
completed | May 8, 2026, 2:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf1c407208190a0b544d98551319f |
completed | May 8, 2026, 2:23 p.m. |
Created at: April 9, 2026, 9:49 p.m.