Triple
T21501714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italo Tajo |
E530489
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tajo |
—
|
NE NERFINISHED |
How this triple was built (2 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: Tajo | Statement: [Italo Tajo, familyName, Tajo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tajo Context triple: [Italo Tajo, familyName, Tajo]
-
A.
Tajo
chosen
Tajo is the longest river in the Iberian Peninsula, flowing through Spain and Portugal before emptying into the Atlantic Ocean near Lisbon.
-
B.
Helaba
Helaba is a major German public-sector commercial bank, formally known as Landesbank Hessen-Thüringen, that provides wholesale, retail, and public finance services.
-
C.
Baceno
Baceno is a small municipality in the Piedmont region of northern Italy, located in the alpine province of Verbano-Cusio-Ossola near the Swiss border.
-
D.
Teba
Teba is a town in the province of Málaga, Spain, historically notable as the site of a major medieval battle during the Reconquista.
-
E.
Bohigas
Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5d209881908754eb07a47e478a |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.