Triple
T36703601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ROSAA |
E906296
|
entity |
| Predicate | observationEnvironment |
P186534
|
FINISHED |
| Object | ocean surface |
—
|
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: ocean surface | Statement: [ROSAA, observationEnvironment, ocean surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationEnvironment Context triple: [ROSAA, observationEnvironment, ocean surface]
-
A.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
B.
observationSpace
Indicates the defined set of possible observations or sensory inputs that an agent can receive from its environment.
-
C.
environs
Indicates that one entity surrounds, encircles, or lies all around another entity in space.
-
D.
tourEnvironment
Indicates that an entity conducts or participates in a tour within a particular environment or setting.
-
E.
observationPlatform
Indicates that one entity serves as the physical or virtual platform, site, or facility from which observations of another entity or phenomenon are made.
- F. None of above. chosen
Provenance (4 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:12 p.m.