Triple
T13434357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Hallett |
E320191
|
entity |
| Predicate | hasSummerResearchActivity |
P33630
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cape Hallett, hasSummerResearchActivity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummerResearchActivity Context triple: [Cape Hallett, hasSummerResearchActivity, true]
-
A.
hasResearchActivities
chosen
Indicates that an entity engages in, conducts, or is associated with research-related activities.
-
B.
hasResearchActivityLevel
Indicates the degree or intensity of research-related activity associated with an entity.
-
C.
hasResearched
Indicates that an entity has conducted study, investigation, or systematic inquiry into another entity or topic.
-
D.
hasSummerCourses
Indicates that an entity offers or includes courses that take place during the summer term.
-
E.
hasResearcher
Indicates that an entity is associated with or linked to a specific researcher responsible for work, study, or investigation related to it.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.