Triple
T7344007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENEA |
E169327
|
entity |
| Predicate | hasResearchCenterIn |
P11730
|
FINISHED |
| Object | Trisaia |
E658481
|
NE FINISHED |
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: Trisaia | Statement: [ENEA, hasResearchCenterIn, Trisaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trisaia Context triple: [ENEA, hasResearchCenterIn, Trisaia]
-
A.
Trisaia
chosen
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
-
B.
Tirico
Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
-
C.
Sistiana
Sistiana is a coastal village in northeastern Italy’s Friuli-Venezia Giulia region, known for its scenic bay on the Adriatic Sea and proximity to the historic Duino Castle.
-
D.
Trinetta
Trinetta is a character from the animated television series "Who Asked You?," known for her distinctive personality and role in the show's comedic narrative.
-
E.
Atilia
Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0ed78908190a169f094cb3f62f0 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802b24194819096b796de15d66ed2 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 3:05 p.m.