Triple
T14058548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tate |
E338281
|
entity |
| Predicate | accessFrom |
P1985
|
FINISHED |
| Object | Guthega |
E68379
|
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: Guthega | Statement: [Mount Tate, accessFrom, Guthega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guthega Context triple: [Mount Tate, accessFrom, Guthega]
-
A.
Guthega
chosen
Guthega is a small alpine village and ski area in New South Wales, Australia, located within the Snowy Mountains and known for its access to snow sports and the nearby Guthega Dam.
-
B.
Bolsward
Bolsward is a historic Frisian city in the Netherlands known for its well-preserved medieval center and canals.
-
C.
Gileppe
Gileppe is a river in eastern Belgium known for feeding the Gileppe Dam and Reservoir near Jalhay.
-
D.
Bulgenbach
Bulgenbach is a locality in Germany known historically as the birthplace of the 16th-century peasant leader Hans Müller von Bulgenbach.
-
E.
Schwansen
Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8e6d008190af8892f34c5cefbd |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb662c37c8190a629278a97060080 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.