Triple
T35560949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAT |
E1027633
|
entity |
| Predicate | detectorArrayArea_cm2 |
P163065
|
FINISHED |
| Object | 5200 |
—
|
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: 5200 | Statement: [BAT, detectorArrayArea_cm2, 5200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detectorArrayArea_cm2 Context triple: [BAT, detectorArrayArea_cm2, 5200]
-
A.
detectorArraySize
Indicates the size or dimensions of a detector array used in a sensing or measurement system.
-
B.
effectiveArea
Indicates the portion of a surface or region that actually contributes to a specified effect, such as performance, interaction, or impact, within a given context.
-
C.
measurementArea
chosen
Indicates that a specified area is the spatial extent over which a measurement is taken or considered valid.
-
D.
solarArrayArea
Indicates the total surface area occupied by a solar array used for collecting solar energy.
-
E.
coveredArea
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.