Triple
T22665080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tata Martino |
E559761
|
entity |
| Predicate | placeOfBirthCity |
P1
|
FINISHED |
| Object | Rosario |
—
|
NE NERFINISHED |
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: Rosario | Statement: [Tata Martino, placeOfBirthCity, Rosario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosario Context triple: [Tata Martino, placeOfBirthCity, Rosario]
-
A.
Rosario
Rosario is a coastal municipality in the Mexican state of Sinaloa known for its historic architecture, mining heritage, and proximity to the Pacific Ocean.
-
B.
Rosario
Rosario is a coastal municipality in the province of Northern Samar in the Eastern Visayas region of the Philippines.
-
C.
Rosario
Rosario is a coastal municipality in the province of Cavite in the Philippines, known for its fishing industry and proximity to Manila Bay.
-
D.
Rosario
Rosario is a feminine given name of Spanish and Italian origin, commonly associated with the Roman Catholic devotion to the Rosary.
-
E.
Rosario
Rosario is a first-class agricultural municipality in the province of Batangas in the Philippines, known for its coconut and rice farming.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosario Target entity description: Rosario is a major port city in Argentina’s Santa Fe province, known for its industrial economy, cultural life, and as the birthplace of several prominent figures.
-
A.
Rosario
chosen
Rosario is a major Argentine port city and industrial center located in the province of Santa Fe.
-
B.
Rosario
Rosario is a coastal municipality in the Mexican state of Sinaloa known for its historic architecture, mining heritage, and proximity to the Pacific Ocean.
-
C.
Rosario
Rosario is a coastal municipality in the province of Cavite in the Philippines, known for its fishing industry and proximity to Manila Bay.
-
D.
Rosario
Rosario is a first-class agricultural municipality in the province of Batangas in the Philippines, known for its coconut and rice farming.
-
E.
Rosario
Rosario is a prestigious private university in Bogotá, Colombia, known for its historic role in the country’s political and academic life.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfBirthCity Context triple: [Tata Martino, placeOfBirthCity, Rosario]
-
A.
placeOfBirth
chosen
Indicates the location where a person or other entity was born.
-
B.
cityOfBirthOfNamesake
Indicates that one entity is the city where the namesake (the person or entity after whom something is named) of another entity was born.
-
C.
residencyCity
Indicates the city in which an entity resides or has their primary place of residence.
-
D.
basedInCity
Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
-
E.
creatorPlaceOfBirth
Indicates that the place specified is the location where the creator of an entity was born.
- F. None of above.
Provenance (3 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781b3dbc8190a312843cf8c1bfc6 |
completed | April 29, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:08 p.m.