Triple
T11784761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K3 |
E280241
|
entity |
| Predicate | mapLabel |
P13793
|
FINISHED |
| Object | Broad Peak (K3) |
E57123
|
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: Broad Peak (K3) | Statement: [K3, mapLabel, Broad Peak (K3)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broad Peak (K3) Context triple: [K3, mapLabel, Broad Peak (K3)]
-
A.
Broad Peak
chosen
Broad Peak is one of the world’s highest mountains, an 8,000-meter-class peak in the Karakoram range on the border of Pakistan and China, renowned for its broad, extended summit ridge.
-
B.
Gasherbrum III
Gasherbrum III is a high, remote peak in the Gasherbrum massif of the Karakoram range, notable as one of the world’s major 7,000-meter mountains.
-
C.
Nanga Parbat
Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
-
D.
Baltoro Kangri
Baltoro Kangri is a prominent high-altitude mountain peak in the Karakoram range of Pakistan, known for its challenging climbing routes and proximity to major glaciers and other famous summits.
-
E.
K2
K2 is a prominent outdoor recreation brand best known for its skis, snowboards, and other winter sports equipment.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a585795c8190aa8a5edf0d99b47f |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0683b90819098864f73b6976517 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 8, 2026, 9:42 p.m.