Triple
T2529989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tista River |
E56133
|
entity |
| Predicate | flowsFrom |
P17870
|
FINISHED |
| Object | Femsjøen |
E272277
|
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: Femsjøen | Statement: [Tista River, flowsFrom, Femsjøen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Femsjøen Context triple: [Tista River, flowsFrom, Femsjøen]
-
A.
Sjusjøen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
-
B.
Rødenessjøen
Rødenessjøen is a lake in Norway known for its scenic natural surroundings and recreational opportunities such as fishing and boating.
-
C.
Øymarksjøen
chosen
Øymarksjøen is a lake in southeastern Norway known for its forested surroundings, recreational fishing, and role in the local waterway system near the Swedish border.
-
D.
Randsfjorden
Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
-
E.
Drøbak
Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd276930c8190bd46b52e06b7098e |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af906b656081908df9a8b874aaa340 |
completed | March 10, 2026, 3:30 a.m. |
Created at: March 6, 2026, 9:46 p.m.