Triple
T4434668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buskerud |
E95618
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Modum |
E422313
|
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: Modum | Statement: [Buskerud, contains, Modum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Modum Context triple: [Buskerud, contains, Modum]
-
A.
Modum
chosen
Modum is a municipality in Buskerud, Norway, known for its rural landscapes, historic industrial sites, and recreational areas such as the Vikersund ski flying hill.
-
B.
Moudon
Moudon is a historic town and former district capital in the canton of Vaud, Switzerland, known for its medieval old town and location in the Broye valley.
-
C.
Ulsta
Ulsta is a small settlement on the island of Yell in Shetland, Scotland, known primarily for its ferry terminal linking Yell to the Shetland mainland.
-
D.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
-
E.
Mora
Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35588e99881908fea7b71a33e2bb6 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6137378dc8190900c8fda2693c4da |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.