Triple
T6923769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan City of Bari |
E160252
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Terlizzi
Terlizzi is a town and comune in the Apulia region of southern Italy, known for its historic center and agricultural traditions.
|
E630103
|
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: Terlizzi | Statement: [Metropolitan City of Bari, contains, Terlizzi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terlizzi Context triple: [Metropolitan City of Bari, contains, Terlizzi]
-
A.
Rissani
Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
-
B.
Trezzini
Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
-
C.
Nigoglia
Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
-
D.
Leporano
Leporano is a coastal town and comune in the Apulia region of southern Italy, known for its beaches, archaeological sites, and historic tower.
-
E.
Tognana
Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern 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: Terlizzi Triple: [Metropolitan City of Bari, contains, Terlizzi]
Generated description
Terlizzi is a town and comune in the Apulia region of southern Italy, known for its historic center and agricultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terlizzi Target entity description: Terlizzi is a town and comune in the Apulia region of southern Italy, known for its historic center and agricultural traditions.
-
A.
Rissani
Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
-
B.
Trezzini
Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
-
C.
Nigoglia
Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
-
D.
Leporano
Leporano is a coastal town and comune in the Apulia region of southern Italy, known for its beaches, archaeological sites, and historic tower.
-
E.
Tognana
Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fea8d08190b6099a24fbac7de5 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7513bcd2c8190853bc6e8a33a1673 |
completed | March 28, 2026, 3:55 a.m. |
| NEDg | Description generation | batch_69c751abed548190ac2152acd3029d2d |
completed | March 28, 2026, 3:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7558dd72081909af14d319ce01ff6 |
completed | March 28, 2026, 4:14 a.m. |
Created at: March 27, 2026, 2:26 p.m.