Triple
T9651579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaskiers glaciation |
E233346
|
entity |
| Predicate | researchTopicIn |
P24329
|
FINISHED |
| Object | paleoclimatology |
—
|
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: paleoclimatology | Statement: [Gaskiers glaciation, researchTopicIn, paleoclimatology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchTopicIn Context triple: [Gaskiers glaciation, researchTopicIn, paleoclimatology]
-
A.
researchTopic
chosen
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
B.
coResearcher
Indicates that two or more individuals collaborate as peers on the same research work or project.
-
C.
researchContext
Indicates the situational, methodological, or thematic setting within which a particular piece of research is conducted or interpreted.
-
D.
researchProjectAt
Indicates that a research project is conducted, hosted, or based at a particular institution or organization.
-
E.
researchModel
Indicates that an entity systematically investigates, develops, or analyzes a model as part of a research process.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb0cce88190b7eacc8b43450d7f |
completed | April 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:13 p.m.