Triple
T7488767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limfjord |
E176948
|
entity |
| Predicate | hasImportantPort |
P6498
|
FINISHED |
| Object | Struer |
E669133
|
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: Struer | Statement: [Limfjord, hasImportantPort, Struer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Struer Context triple: [Limfjord, hasImportantPort, Struer]
-
A.
Struer
chosen
Struer is a Danish town in the Central Denmark Region known for its location on the Limfjord and as the historic home of the audio company Bang & Olufsen.
-
B.
Skeid
Skeid is a Norwegian sports club best known for its football team and local rivalry with Lyn in Oslo.
-
C.
Leister
Leister is a surname of English origin borne by various individuals, including those with the given name Edward.
-
D.
Brandt
Brandt is the obsequious personal assistant to the wealthy Jeffrey Lebowski in the cult film "The Big Lebowski," often serving as a nervous intermediary between him and the Dude.
-
E.
Steenberg
Steenberg is a suburb in Cape Town, South Africa, situated near the Pollsmoor maximum-security prison.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f55abcd481909e42ca857fe46cd1 |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84600d65481908518bc0d7ffcb373 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:43 p.m.