Triple
T12217796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danum Valley Conservation Area |
E291130
|
entity |
| Predicate | degreeOfDisturbance |
P57472
|
FINISHED |
| Object | largely undisturbed |
—
|
LITERAL 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: largely undisturbed | Statement: [Danum Valley Conservation Area, degreeOfDisturbance, largely undisturbed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOfDisturbance Context triple: [Danum Valley Conservation Area, degreeOfDisturbance, largely undisturbed]
-
A.
disturbanceLevel
chosen
Indicates the degree or intensity of disruption, interference, or deviation from a normal or stable state in a given context.
-
B.
canBeDisturbedBy
Indicates that an entity is susceptible to being interrupted, bothered, or otherwise negatively affected by another entity or factor.
-
C.
humanImpactLevel
Indicates the degree or extent to which human activities affect or influence a given entity, system, or environment.
-
D.
noiseLevel
Indicates the intensity or amount of sound present in a given environment or from a specific source.
-
E.
disruptsContinuityOf
Indicates that one entity interrupts, breaks, or otherwise prevents the ongoing, uninterrupted progression or sequence of another entity or process.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.