Triple
T18238177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natural History |
E436734
|
entity |
| Predicate | coversResearchTrends |
P103055
|
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: [Natural History, coversResearchTrends, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversResearchTrends Context triple: [Natural History, coversResearchTrends, true]
-
A.
researchTopic
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.
researchValue
Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
-
D.
coveredTopics
chosen
Indicates that certain subjects or themes have been addressed or included within a discussion, document, or activity.
-
E.
trends
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e0a0ac819090d48ae45b1ebfc9 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:33 a.m.