Triple
T7696991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FNRS-1 |
E174393
|
entity |
| Predicate | researchCapability |
P24329
|
FINISHED |
| Object | deep-sea observation |
—
|
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: deep-sea observation | Statement: [FNRS-1, researchCapability, deep-sea observation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchCapability Context triple: [FNRS-1, researchCapability, deep-sea observation]
-
A.
researchStrength
Indicates the degree to which an entity possesses strong capabilities, performance, or impact in conducting research.
-
B.
researchTopic
chosen
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
C.
researchModel
Indicates that an entity systematically investigates, develops, or analyzes a model as part of a research process.
-
D.
researchArm
Indicates that an entity is a specific study group or treatment arm within a research or clinical trial design.
-
E.
researchCenter
Indicates that one entity functions as a research center associated with, operated by, or focused on the other entity.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.