Triple
T29777321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenwich Island coast |
E755417
|
entity |
| Predicate | researchStationCountry |
P100324
|
FINISHED |
| Object | Chile |
—
|
NE NERFINISHED |
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: Chile | Statement: [Greenwich Island coast, researchStationCountry, Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchStationCountry Context triple: [Greenwich Island coast, researchStationCountry, Chile]
-
A.
countryOfResearchInfrastructure
chosen
Indicates that a research infrastructure is located in, operated by, or formally associated with a particular country.
-
B.
countryOfResearch
Indicates the country where the research activity was primarily conducted or based.
-
C.
repositoryCountry
Indicates the country in which a repository is located or maintained.
-
D.
nearbyResearchStationFormerName
Indicates that a nearby research station previously had a different name, specifying that former name.
-
E.
researchStationStatus
Indicates the current operational or functional state of a research station within a given context or system.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f674a363848190814f687a63333026 |
completed | May 2, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 8:47 p.m.