Triple
T35375480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLUPI close-up imager |
E1021894
|
entity |
| Predicate | observationScale |
P166372
|
FINISHED |
| Object | millimetre scale |
—
|
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: millimetre scale | Statement: [CLUPI close-up imager, observationScale, millimetre scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationScale Context triple: [CLUPI close-up imager, observationScale, millimetre scale]
-
A.
scaleOfObservation
chosen
Indicates the level or granularity at which something is observed, measured, or analyzed within a given context.
-
B.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
C.
visualScale
Indicates how large or small something appears visually relative to a reference or its actual size.
-
D.
goalScale
Indicates the scale or magnitude at which a goal is defined, measured, or intended to be achieved.
-
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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:03 p.m.