Triple
T22104552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapovan |
E546252
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Meru Peak |
—
|
NE NERFINISHED |
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: Meru Peak | Statement: [Tapovan, hasViewOf, Meru Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meru Peak Context triple: [Tapovan, hasViewOf, Meru Peak]
-
A.
Meru Peak
chosen
Meru Peak is a prominent and technically challenging Himalayan mountain in the Indian Garhwal region, renowned among climbers for its steep granite faces and difficult ascents.
-
B.
Rysy summit
Rysy summit is a prominent peak in the High Tatras on the Polish–Slovak border, renowned as a popular and scenic high-altitude hiking destination.
-
C.
Gondogoro Peak
Gondogoro Peak is a high mountain in Pakistan’s Karakoram range, popular with trekkers and climbers for its challenging ascent and views of nearby 8,000-meter giants.
-
D.
Shkhara
Shkhara is a prominent peak in the Greater Caucasus mountain range, known as one of the highest and most challenging mountains in the region.
-
E.
University Peak
University Peak is a prominent mountain in Alaska's Saint Elias Range, known for its steep relief and challenging climbing routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291815f88190a6eaf73e444dc1c2 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.