Triple
T7806282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Mageik |
E180559
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Martin |
E182690
|
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 Martin | Statement: [Mount Mageik, near, Mount Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Martin Context triple: [Mount Mageik, near, Mount Martin]
-
A.
Mount Martin
chosen
Mount Martin is an active stratovolcano located on the Alaska Peninsula within the volcanically rich Aleutian Arc.
-
B.
Mount Brydges
Mount Brydges is a small community in southwestern Ontario, Canada, known for its rural character and proximity to the city of London.
-
C.
Mount Townsend
Mount Townsend is one of the highest peaks in Australia, located in the Snowy Mountains of New South Wales near Mount Kosciuszko.
-
D.
Bradda Hill
Bradda Hill is a prominent coastal hill on the Isle of Man known for its scenic views over Port Erin and the surrounding coastline.
-
E.
Mount Hayes
Mount Hayes is a prominent, heavily glaciated peak in eastern Alaska and one of the highest and most rugged mountains in the Alaska Range.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf639fba88190a7c117aab19c0b0f |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14439c8081908331caf450462a0e |
completed | March 31, 2026, 12:24 a.m. |
Created at: March 30, 2026, 4:35 p.m.