Triple
T14936557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eir |
E372408
|
entity |
| Predicate | associatedPlace |
P1481
|
FINISHED |
| Object | Lyfjaberg |
E1128554
|
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: Lyfjaberg | Statement: [Eir, associatedPlace, Lyfjaberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyfjaberg Context triple: [Eir, associatedPlace, Lyfjaberg]
-
A.
Lyfjaberg
chosen
Lyfjaberg is the mythological healing mountain associated with the Norse goddess Eir, often depicted as a place of cures and protection.
-
B.
Silfverberg
Silfverberg is a Swedish surname most notably associated with professional ice hockey player Jakob Silfverberg.
-
C.
Grankulla
Grankulla is the Swedish name for Kauniainen, a small, affluent town surrounded by Espoo in the Helsinki metropolitan area of Finland.
-
D.
Tyvholm
Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
-
E.
Felsennest
Felsennest was one of Adolf Hitler’s early World War II military headquarters, located in western Germany and used during the 1940 campaign in France.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded647ae388190a0e97c03f2a4d832 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bd69df481908d8b1a5e6add0a7b |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:37 a.m.