Triple
T22743864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonas Valančiūnas |
E562491
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Utena |
—
|
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: Utena | Statement: [Jonas Valančiūnas, placeOfBirth, Utena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utena Context triple: [Jonas Valančiūnas, placeOfBirth, Utena]
-
A.
Utena
chosen
Utena is a town in northeastern Lithuania that serves as an important regional center in the historical region of Aukštaitija.
-
B.
Suyasha
Suyasha is a figure from Hindu tradition known primarily as the consort of Nandi, the divine bull and devoted attendant of Lord Shiva.
-
C.
Ryoko
Ryoko is a powerful, mischievous space pirate and one of the central female leads in the Tenchi Muyo! anime franchise.
-
D.
Mai Shiranui
Mai Shiranui is a popular and iconic kunoichi (female ninja) character from SNK’s fighting games, known for her revealing outfit, agile fighting style, and fiery fan-based attacks.
-
E.
Sunshine Sakae
Sunshine Sakae is a prominent entertainment and shopping complex in Nagoya, Japan, known for its distinctive Ferris wheel and variety of retail, dining, and leisure facilities.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797590f08190a784f73fcd27b101 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:23 p.m.