Triple
T9046995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Brindisi |
E216777
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
San Pancrazio Salentino
San Pancrazio Salentino is a small town in Italy’s Apulia region known for its traditional Salento culture and wine production.
|
E774406
|
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 Pancrazio Salentino | Statement: [Province of Brindisi, contains, San Pancrazio Salentino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Pancrazio Salentino Context triple: [Province of Brindisi, contains, San Pancrazio Salentino]
-
A.
Sant’Erasmo
Sant’Erasmo is a large, sparsely populated island in the Venetian Lagoon known for its agricultural fields and vegetable production, especially artichokes.
-
B.
Sant’Antimo
Sant’Antimo is a town in the Campania region of southern Italy, located near Naples.
-
C.
San Vincenzo
San Vincenzo is a coastal town and popular seaside resort on the Tyrrhenian Sea in Tuscany, central Italy.
-
D.
San Martino
San Martino is a small locality within the municipality of Bucine in the Tuscany region of Italy.
-
E.
San Michele
San Michele is a small island in the Venetian Lagoon best known as Venice’s historic cemetery island, housing monumental tombs and a Renaissance church.
- 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 Pancrazio Salentino Triple: [Province of Brindisi, contains, San Pancrazio Salentino]
Generated description
San Pancrazio Salentino is a small town in Italy’s Apulia region known for its traditional Salento culture and wine production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Pancrazio Salentino Target entity description: San Pancrazio Salentino is a small town in Italy’s Apulia region known for its traditional Salento culture and wine production.
-
A.
Sant’Erasmo
Sant’Erasmo is a large, sparsely populated island in the Venetian Lagoon known for its agricultural fields and vegetable production, especially artichokes.
-
B.
Sant’Antimo
Sant’Antimo is a town in the Campania region of southern Italy, located near Naples.
-
C.
San Vincenzo
San Vincenzo is a coastal town and popular seaside resort on the Tyrrhenian Sea in Tuscany, central Italy.
-
D.
San Martino
San Martino is a small locality within the municipality of Bucine in the Tuscany region of Italy.
-
E.
San Michele
San Michele is a small island in the Venetian Lagoon best known as Venice’s historic cemetery island, housing monumental tombs and a Renaissance church.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b4e4b888190a425e29b193b506f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebb7f668819099125ab727cd50b1 |
completed | April 3, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69cfed8970448190b3deac1d8f46c639 |
completed | April 3, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfedf299908190852cc627fd7134b9 |
completed | April 3, 2026, 4:42 p.m. |
Created at: March 30, 2026, 7:09 p.m.