Triple
T15875305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant Ledge |
E384938
|
entity |
| Predicate | viewOf |
P854
|
FINISHED |
| Object | Wittenberg Mountain |
E384936
|
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: Wittenberg Mountain | Statement: [Giant Ledge, viewOf, Wittenberg Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wittenberg Mountain Context triple: [Giant Ledge, viewOf, Wittenberg Mountain]
-
A.
Wittenberg Mountain
chosen
Wittenberg Mountain is a prominent peak in New York’s Catskill Mountains, popular with hikers for its challenging trails and expansive summit views.
-
B.
North Mountain
North Mountain is a long basalt ridge in Nova Scotia, Canada, forming the northern barrier of the Annapolis Valley along the Bay of Fundy.
-
C.
North Mountain
North Mountain is a prominent forested ridge within Hot Springs National Park known for its scenic overlooks, hiking trails, and historic bathhouse-related springs.
-
D.
North Mountain
North Mountain is the towering, snow-covered peak in Disney's Frozen universe where Elsa creates her ice palace and isolates herself from Arendelle.
-
E.
North Mountain
North Mountain is a prominent peak and popular hiking destination within the Phoenix Mountains in Phoenix, Arizona.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fcffbc8190ba6d133107b83a7f |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94e9b548190bec74e6d9790d241 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.