Triple
T6923777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan City of Bari |
E160252
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Adelfia
Adelfia is a town and comune in the Apulia region of southern Italy, known for its agricultural traditions and religious festivals.
|
E630105
|
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: Adelfia | Statement: [Metropolitan City of Bari, contains, Adelfia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adelfia Context triple: [Metropolitan City of Bari, contains, Adelfia]
-
A.
Almirena
Almirena is a central soprano role in George Frideric Handel’s opera "Rinaldo," portrayed as the virtuous and beloved daughter of the Christian leader Goffredo.
-
B.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
C.
Adara
Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
-
D.
Leonessa
Leonessa is a historic mountain town in central Italy, known for its medieval architecture and scenic location in the Apennines.
-
E.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
- 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: Adelfia Triple: [Metropolitan City of Bari, contains, Adelfia]
Generated description
Adelfia is a town and comune in the Apulia region of southern Italy, known for its agricultural traditions and religious festivals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adelfia Target entity description: Adelfia is a town and comune in the Apulia region of southern Italy, known for its agricultural traditions and religious festivals.
-
A.
Almirena
Almirena is a central soprano role in George Frideric Handel’s opera "Rinaldo," portrayed as the virtuous and beloved daughter of the Christian leader Goffredo.
-
B.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
C.
Adara
Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
-
D.
Leonessa
Leonessa is a historic mountain town in central Italy, known for its medieval architecture and scenic location in the Apennines.
-
E.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
- 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.