Triple
T15276073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karimata Islands |
E365143
|
entity |
| Predicate | hasEnvironmentStatus |
P111300
|
FINISHED |
| Object | relatively 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: relatively undisturbed | Statement: [Karimata Islands, hasEnvironmentStatus, relatively undisturbed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentStatus Context triple: [Karimata Islands, hasEnvironmentStatus, relatively undisturbed]
-
A.
hasEnvironmentalControl
Indicates that one entity regulates, influences, or manages the environmental conditions affecting another entity or area.
-
B.
hasEnvironmentType
Indicates that an entity is associated with or occurs within a specific type or category of environment.
-
C.
hasGeneralEnvironment
chosen
Indicates that an entity exists or operates within a broad or overall environmental context or setting.
-
D.
hasEquipmentStatus
Indicates the current operational or condition state assigned to a piece of equipment.
-
E.
hasPrimaryEnvironment
Indicates that an entity is associated with its main or most characteristic environment or setting.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00952731c8190bf6a5e6e10c95b94 |
completed | April 15, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.