Triple
T35790750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tic Tac (UFO) |
E1034684
|
entity |
| Predicate | environmentOfObservation |
P853
|
FINISHED |
| Object | Pacific Ocean |
—
|
NE NERFINISHED |
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: Pacific Ocean | Statement: [Tic Tac (UFO), environmentOfObservation, Pacific Ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentOfObservation Context triple: [Tic Tac (UFO), environmentOfObservation, Pacific Ocean]
-
A.
environmentAnalogOf
Indicates that one environment serves as an analogue or counterpart to another, typically mirroring its conditions, structure, or behavior for comparison or simulation purposes.
-
B.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
C.
environmentRole
Indicates the functional role or influence that one entity has within or upon a particular environment or environmental context.
-
D.
environmentalFactor
Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
-
E.
observationSpace
Indicates the defined set of possible observations or sensory inputs that an agent can receive from its environment.
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.