Triple
T17279953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana’s Peak National Park |
E419497
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Diana’s Peak |
E88240
|
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: Diana’s Peak | Statement: [Diana’s Peak National Park, contains, Diana’s Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana’s Peak Context triple: [Diana’s Peak National Park, contains, Diana’s Peak]
-
A.
Diana’s Peak
chosen
Diana’s Peak is the tallest mountain on the remote South Atlantic island of Saint Helena, known for its lush cloud forest and unique endemic plant species.
-
B.
Disappointment Peak
Disappointment Peak is a mountain summit in Grand Teton National Park in Wyoming, known for its challenging climbing routes and dramatic alpine scenery.
-
C.
Victory Peak
Victory Peak is the highest mountain in the Tian Shan range of Central Asia, located on the border between Kyrgyzstan and China.
-
D.
Ruen Peak
Ruen Peak is the highest summit of the Osogovo mountain range, located on the border between Bulgaria and North Macedonia.
-
E.
Agassiz Peak
Agassiz Peak is one of the highest summits in Arizona, located in the San Francisco Peaks volcanic mountain range near Flagstaff.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e433286f6c8190bf4a757707707e22 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180d29f4881908694f0182930d716 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:40 a.m.