Triple
T14895700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gefn |
E359866
|
entity |
| Predicate | distinguishedFrom |
P1612
|
FINISHED |
| Object | Gefjon |
E372404
|
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: Gefjon | Statement: [Gefn, distinguishedFrom, Gefjon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gefjon Context triple: [Gefn, distinguishedFrom, Gefjon]
-
A.
Gefjon
chosen
Gefjon is a Norse goddess associated with ploughing, fertility, and the legendary creation of the island of Zealand.
-
B.
Snotra
Snotra is a lesser-known Norse goddess associated with wisdom, prudence, and courteous behavior among the Aesir.
-
C.
Geirröd
Geirröd is a fearsome giant from Norse mythology, best known for luring the god Thor into a deadly trap in his hall in Jotunheim.
-
D.
Finnboda
Finnboda is a waterfront district in Nacka, Sweden, known for its former shipyard area now redeveloped into a residential and commercial neighborhood overlooking central Stockholm.
-
E.
Fræna
Fræna is a former coastal municipality in western Norway known for its rugged shoreline, fishing communities, and scenic North Atlantic landscapes.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6070b248190be8f4f91a0c0b1f3 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b11584819084f32516cb0023a1 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:10 a.m.