Triple
T13479243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuomas Kantelinen |
E318327
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Kitee |
E661482
|
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: Kitee | Statement: [Tuomas Kantelinen, placeOfBirth, Kitee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitee Context triple: [Tuomas Kantelinen, placeOfBirth, Kitee]
-
A.
Kitee
chosen
Kitee is a small town and municipality in eastern Finland known for its lakeside scenery and rural character.
-
B.
Kite
"Kite" is a reflective, emotionally resonant song by U2 from their album *All That You Can’t Leave Behind*, noted for its themes of change, loss, and letting go.
-
C.
Kee
Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
-
D.
Kagee
Kagee is the former name of Chiayi City, a historic urban center in southwestern Taiwan.
-
E.
Kote
Kote is a Georgian given name commonly used as a diminutive of Konstantine.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf266c508190930d30776c09ce35 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463340fc8190b1128bd1d26f91ab |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.