Triple
T9786170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TurkishCuisine |
E237494
|
entity |
| Predicate | typicalDessert |
P26231
|
FINISHED |
| Object |
Tulumba
Tulumba is a popular deep-fried, syrup-soaked pastry dessert found across Turkey and other parts of the Middle East and the Balkans.
|
E820761
|
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: Tulumba | Statement: [TurkishCuisine, typicalDessert, Tulumba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulumba Context triple: [TurkishCuisine, typicalDessert, Tulumba]
-
A.
Taquara
Taquara is a residential neighborhood in the West Zone of Rio de Janeiro, Brazil, known for its mix of urban development and remaining green areas.
-
B.
Otumba
Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
-
C.
Pilón
Pilón is a coastal town and municipality in southeastern Cuba known for its fishing activities and proximity to the Sierra Maestra mountains.
-
D.
Tumeremo
Tumeremo is a mining town in southeastern Venezuela known for its gold deposits and location within Bolívar State.
-
E.
Pilla
Pilla is an Italian surname most notably associated with Franca Pilla, the wife of former Italian President Carlo Azeglio Ciampi.
- 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: Tulumba Triple: [TurkishCuisine, typicalDessert, Tulumba]
Generated description
Tulumba is a popular deep-fried, syrup-soaked pastry dessert found across Turkey and other parts of the Middle East and the Balkans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tulumba Target entity description: Tulumba is a popular deep-fried, syrup-soaked pastry dessert found across Turkey and other parts of the Middle East and the Balkans.
-
A.
Taquara
Taquara is a residential neighborhood in the West Zone of Rio de Janeiro, Brazil, known for its mix of urban development and remaining green areas.
-
B.
Otumba
Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
-
C.
Pilón
Pilón is a coastal town and municipality in southeastern Cuba known for its fishing activities and proximity to the Sierra Maestra mountains.
-
D.
Tumeremo
Tumeremo is a mining town in southeastern Venezuela known for its gold deposits and location within Bolívar State.
-
E.
Pilla
Pilla is an Italian surname most notably associated with Franca Pilla, the wife of former Italian President Carlo Azeglio Ciampi.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2107f688190b2cab1509c508319 |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c4235ae88190aefaa6d9b63031e0 |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c477c9c48190b08f4871955d4450 |
completed | April 5, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c520d3988190b7735f6d16e78ab5 |
completed | April 5, 2026, 2:12 a.m. |
Created at: March 30, 2026, 8:27 p.m.