Triple
T17370205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Telemark |
E422289
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tokke |
—
|
NE ONNED1 |
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: Tokke | Statement: [Upper Telemark, contains, Tokke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokke Context triple: [Upper Telemark, contains, Tokke]
-
A.
Tokke
chosen
Tokke is a rural municipality in Vestfold og Telemark county, Norway, known for its hydropower production, lakes, and mountainous landscapes.
-
B.
Tokkō
Tokkō was the colloquial name for Japan’s prewar and wartime Special Higher Police, a political police force tasked with suppressing dissent and ideological opposition.
-
C.
Toyako
Toyako is a town in Hokkaido, Japan, known as a gateway to the scenic Lake Tōya area and nearby volcanic and hot spring attractions.
-
D.
Tocho
Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
-
E.
Takanot
Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6842388190940235198fa50041 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019568a27c8190af1bbe6db75f3e6f |
in_progress | May 11, 2026, 8:38 a.m. |
Created at: April 10, 2026, 5:44 a.m.