Triple
T7270581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heard Island and McDonald Islands |
E161090
|
entity |
| Predicate | permanentResearchStations |
P2881
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Heard Island and McDonald Islands, permanentResearchStations, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permanentResearchStations Context triple: [Heard Island and McDonald Islands, permanentResearchStations, no]
-
A.
maintainedResearchStation
Indicates that an entity was responsible for operating, supporting, or keeping a research station in working condition over a period of time.
-
B.
largestResearchStationIn
Indicates that one entity is the largest research station located within the specified geographic or administrative area.
-
C.
containsResearchStation
chosen
Indicates that one entity geographically includes or hosts a research station within its boundaries.
-
D.
nearbyResearchStationFormerName
Indicates that a nearby research station previously had a different name, specifying that former name.
-
E.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:58 p.m.