Triple
T36747777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Adams Wilderness glacial system |
E907814
|
entity |
| Predicate | occupiesFlanksOf |
P20134
|
FINISHED |
| Object | stratovolcano Mount Adams |
—
|
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: stratovolcano Mount Adams | Statement: [Mount Adams Wilderness glacial system, occupiesFlanksOf, stratovolcano Mount Adams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupiesFlanksOf Context triple: [Mount Adams Wilderness glacial system, occupiesFlanksOf, stratovolcano Mount Adams]
-
A.
liesOnFlankOf
chosen
Indicates that one entity is positioned along the side or lateral edge of another entity.
-
B.
hasOpposingFront
Indicates that one entity’s front side is directly facing or oriented opposite to the front side of another entity.
-
C.
allianceFlank
Indicates a cooperative maneuver where allied entities position themselves on the side of a common target or objective to gain a tactical advantage.
-
D.
trainLineAttacked
Indicates that a train line was the target of an attack or act of aggression.
-
E.
hasOpposingSide
Indicates that one entity possesses or is associated with another entity that lies on the opposite or facing side relative to a reference orientation or boundary.
- F. None of above.
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_69f76e76d10881909ec1679bc043108c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.