Triple
T13826100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelson Island |
E332251
|
entity |
| Predicate | hasNearbyResearchStations |
P111661
|
FINISHED |
| Object | stations on King George Island |
—
|
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: stations on King George Island | Statement: [Nelson Island, hasNearbyResearchStations, stations on King George Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyResearchStations Context triple: [Nelson Island, hasNearbyResearchStations, stations on King George Island]
-
A.
containsResearchStation
Indicates that one entity geographically includes or hosts a research station within its boundaries.
-
B.
nearestResearchStation
Indicates that one research station is the closest in distance to a given location or entity compared to all other research stations.
-
C.
nearbyResearchStationFormerName
Indicates that a nearby research station previously had a different name, specifying that former name.
-
D.
maintainedResearchStation
Indicates that an entity was responsible for operating, supporting, or keeping a research station in working condition over a period of time.
-
E.
hasNearbyObservatories
Indicates that one entity has one or more observatories located in close geographic proximity to it.
- F. None of above. chosen
Provenance (4 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0295d2d48190b08eba0d805bd72d |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:13 p.m.