Triple
T17202531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garve |
E417512
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | Garve |
E417512
|
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: Garve | Statement: [Garve, hasPostTown, Garve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garve Context triple: [Garve, hasPostTown, Garve]
-
A.
Garve
chosen
Garve is a small village and railway stop in the Scottish Highlands, situated on the route between Inverness and the west coast.
-
B.
Eggum
Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
-
C.
Sagene
Sagene is a central district in Oslo, Norway, known for its historic industrial heritage along the Akerselva river and its mix of old workers’ housing and modern urban development.
-
D.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
-
E.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db014b08190b88a5001e9f7811b |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180c85b148190825bc99b28363c89 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:38 a.m.