Triple
T7808997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polar Circle |
E180629
|
entity |
| Predicate | hasHabitatSimulation |
P30763
|
FINISHED |
| Object | ice |
—
|
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: ice | Statement: [Polar Circle, hasHabitatSimulation, ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHabitatSimulation Context triple: [Polar Circle, hasHabitatSimulation, ice]
-
A.
simulatesHabitatOf
chosen
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
B.
featuresHabitat
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
C.
hasNearbyHabitats
Indicates that one entity has other habitats located close to it in geographic or spatial terms.
-
D.
containsSpeciesWithHabitat
Indicates that an entity includes one or more species that are associated with a particular habitat.
-
E.
hasBiodiversityFeature
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:36 p.m.