Triple
T7840486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İzmir Province |
E181790
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Buca
Buca is a large district of İzmir in western Turkey, known as a residential and university area within the metropolitan region.
|
E696150
|
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: Buca | Statement: [İzmir Province, contains, Buca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buca Context triple: [İzmir Province, contains, Buca]
-
A.
Buca
Buca was an ancient town of the Frentani people in central Italy, known as one of their principal settlements.
-
B.
Vucciria
Vucciria is a historic market district in Palermo, Sicily, famed for its bustling street life, traditional food stalls, and vibrant local culture.
-
C.
Maria and Enzo's Ristorante
Maria and Enzo's Ristorante is an Italian-themed restaurant known for its classic cuisine and vintage aviation-inspired decor, located at Disney Springs in Walt Disney World Resort.
-
D.
Trattoria al Forno
Trattoria al Forno is an Italian-inspired restaurant at Walt Disney World known for its rustic cuisine and character dining experiences.
-
E.
Buccari
Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
- 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: Buca Triple: [İzmir Province, contains, Buca]
Generated description
Buca is a large district of İzmir in western Turkey, known as a residential and university area within the metropolitan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buca Target entity description: Buca is a large district of İzmir in western Turkey, known as a residential and university area within the metropolitan region.
-
A.
Buca
Buca was an ancient town of the Frentani people in central Italy, known as one of their principal settlements.
-
B.
Vucciria
Vucciria is a historic market district in Palermo, Sicily, famed for its bustling street life, traditional food stalls, and vibrant local culture.
-
C.
Maria and Enzo's Ristorante
Maria and Enzo's Ristorante is an Italian-themed restaurant known for its classic cuisine and vintage aviation-inspired decor, located at Disney Springs in Walt Disney World Resort.
-
D.
Trattoria al Forno
Trattoria al Forno is an Italian-inspired restaurant at Walt Disney World known for its rustic cuisine and character dining experiences.
-
E.
Buccari
Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c589748190b34d0911d373e194 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aca5e348190bb73fc4748093248 |
completed | March 31, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69cb5def38e88190864d84abd7959aa3 |
completed | March 31, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb765db28881909ac34071ec6889b3 |
completed | March 31, 2026, 7:23 a.m. |
Created at: March 30, 2026, 4:47 p.m.