Triple
T14066587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gasherbrum I |
E338490
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | K5 |
E269866
|
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: K5 | Statement: [Gasherbrum I, alsoKnownAs, K5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K5 Context triple: [Gasherbrum I, alsoKnownAs, K5]
-
A.
K5
chosen
K5 is an alternative name for Gasherbrum I, one of the world’s highest and most challenging eight-thousander peaks in the Karakoram range.
-
B.
K5R4
K5R4 is the ICAO airport code assigned to Foley Municipal Airport in Foley, Alabama, United States.
-
C.
K 51
K 51 was the military designation for the Junkers G 38, a large German four-engine transport aircraft of the interwar period later adapted for military use.
-
D.
K6
K6 is a prominent 7,000-meter-class mountain in Pakistan’s Karakoram range, known among high-altitude climbers for its challenging, relatively infrequently attempted routes.
-
E.
K7
K7 is a prominent and technically challenging high-altitude peak in Pakistan’s Karakoram range, renowned among mountaineers for its steep granite faces and remote location.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb669111081909ccd167f41571a00 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.