Triple
T6897089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teton Range |
E159396
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Owen |
E338533
|
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: Mount Owen | Statement: [Teton Range, contains, Mount Owen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Owen Context triple: [Teton Range, contains, Mount Owen]
-
A.
Mount Owen
chosen
Mount Owen is a prominent high peak in Wyoming’s Teton Range, known for its rugged alpine terrain and challenging climbing routes.
-
B.
Mount Paterson
Mount Paterson is a mountain peak in the Allardyce Range on the sub-Antarctic island of South Georgia, known for its rugged, glaciated terrain.
-
C.
Mount Irving
Mount Irving is a prominent, heavily glaciated volcanic peak in the South Shetland Islands of Antarctica.
-
D.
Mount Hector
Mount Hector is a prominent peak in New Zealand’s Tararua Range, known for its alpine terrain, challenging tramping routes, and memorial cross to soldiers killed in World War II.
-
E.
Mt Owen
Mt Owen is a prominent limestone mountain in New Zealand’s South Island, noted for its extensive karst landscapes and cave systems.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95c44a48190876d62749411bbb6 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad6c3414819085b816c9455cee7a |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:24 p.m.