Triple
T35800933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Empung |
E1034974
|
entity |
| Predicate | formsTwinComplexWith |
P102611
|
FINISHED |
| Object | Mount Lokon |
—
|
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: Mount Lokon | Statement: [Mount Empung, formsTwinComplexWith, Mount Lokon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsTwinComplexWith Context triple: [Mount Empung, formsTwinComplexWith, Mount Lokon]
-
A.
twinning
chosen
Indicates that two entities are paired or linked as twins, typically sharing a formally recognized, parallel, or closely matched relationship.
-
B.
twinType
Indicates that one entity is classified as a specific type or category of twin in relation to another entity.
-
C.
hasTwinStructureWith
Indicates that two entities share an identical or nearly identical structural form, typically as corresponding or mirrored counterparts.
-
D.
formsWeakDoubletWith
Indicates that one entity forms a weakly interacting or loosely coupled pair (doublet) with another entity, typically in contrast to a stronger or more tightly bound association.
-
E.
formsWith
Indicates that one entity combines or associates with another to create or constitute a joint structure, group, or configuration.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:06 p.m.