Triple
T13489803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosevelt Island (Antarctica) |
E318602
|
entity |
| Predicate | hasScientificStationsSeasonal |
P45261
|
FINISHED |
| Object | temporary field camps |
—
|
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: temporary field camps | Statement: [Roosevelt Island (Antarctica), hasScientificStationsSeasonal, temporary field camps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScientificStationsSeasonal Context triple: [Roosevelt Island (Antarctica), hasScientificStationsSeasonal, temporary field camps]
-
A.
hasSeasonalResearchPresence
chosen
Indicates that an entity conducts research activities in a location only during specific seasons or times of the year.
-
B.
hasSeasonalSpecies
Indicates that certain species are present or occur only during specific seasons in relation to a given context or location.
-
C.
hasMeteorologicalStation
Indicates that one entity possesses, hosts, or is equipped with a meteorological station used for observing and recording weather-related data.
-
D.
hasSeasonalSeaIce
Indicates that a body of water is covered by sea ice only during certain seasons or times of the year.
-
E.
hasSeasonalMigration
Indicates that an entity regularly moves between different locations according to seasonal or cyclical environmental changes.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3cbe2081908c6792362c67c8f1 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.