Triple
T7510567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrangell Mountains |
E177507
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Drum |
E113413
|
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 Drum | Statement: [Wrangell Mountains, contains, Mount Drum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Drum Context triple: [Wrangell Mountains, contains, Mount Drum]
-
A.
Mount Drum
chosen
Mount Drum is a prominent stratovolcano in eastern Alaska known for its steep, isolated profile and dramatic rise above the Copper River Basin.
-
B.
Lovers Peak
"Lovers Peak" is a song featured on the album "Gravitas."
-
C.
Mount Mtatsminda
Mount Mtatsminda is a prominent mountain overlooking Tbilisi, Georgia, known for its panoramic views, historic sites, and cultural landmarks.
-
D.
Magaliesberg
Magaliesberg is a mountain range in northern South Africa known for its rugged cliffs, rich biodiversity, and historical significance in early Boer and indigenous history.
-
E.
Maloti Mountains
The Maloti Mountains are a high, rugged mountain range in Lesotho and South Africa, known for their dramatic landscapes, high-altitude plateaus, and role as the source of major rivers in the region.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d1e1a4819090bf4cbacdbdc7d0 |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8461035b48190ba08c0f759cafe4a |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:45 p.m.