Triple
T18414013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sveaplan |
E441839
|
entity |
| Predicate | hasConnectingRoad |
P11435
|
FINISHED |
| Object | Odengatan |
—
|
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: Odengatan | Statement: [Sveaplan, hasConnectingRoad, Odengatan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odengatan Context triple: [Sveaplan, hasConnectingRoad, Odengatan]
-
A.
Odengatan
chosen
Odengatan is a major street in central Stockholm, Sweden, known for its length, busy traffic, and role as an important east–west thoroughfare in the city.
-
B.
Engey
Engey is a small uninhabited island in Iceland, located just off the coast of Reykjavík in Faxaflói Bay.
-
C.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
D.
Mangfall
The Mangfall is a river in Bavaria, Germany, that flows through the foothills of the Alps and serves as an important tributary of the Inn.
-
E.
Dreketi
Dreketi is a rural settlement in Fiji’s Macuata Province on the island of Vanua Levu, known for its agricultural surroundings and riverine landscape.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a26d268819098e6791dc98efcda |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.