Triple
T24616460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saskylakh |
E609273
|
entity |
| Predicate | locatedInNaturalZone |
P110443
|
FINISHED |
| Object | tundra and forest-tundra zone |
—
|
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: tundra and forest-tundra zone | Statement: [Saskylakh, locatedInNaturalZone, tundra and forest-tundra zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInNaturalZone Context triple: [Saskylakh, locatedInNaturalZone, tundra and forest-tundra zone]
-
A.
onlyNaturalHabitatOf
Indicates that a given location is the sole natural habitat where a particular species or organism occurs in the wild.
-
B.
situatedInProtectedArea
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
-
C.
isEcologicalZone
Indicates that one entity functions as, or is classified as, an ecological zone in relation to another entity.
-
D.
naturalRegionOf
chosen
Indicates that one entity is the natural geographic region or area in which the other entity is located or to which it belongs.
-
E.
hasNaturalAreaType
Indicates that an entity is associated with or classified by a specific type of natural area (e.g., forest, wetland, grassland).
- 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.