Triple
T17589032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Very Large Array |
E428395
|
entity |
| Predicate | arrayConfigurations |
P128122
|
FINISHED |
| Object | A configuration |
—
|
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: A configuration | Statement: [Very Large Array, arrayConfigurations, A configuration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrayConfigurations Context triple: [Very Large Array, arrayConfigurations, A configuration]
-
A.
numberOfConfigurations
Indicates the total count of distinct configurations associated with or applicable to a given entity or situation.
-
B.
featuresStringArrangementBy
Indicates that something presents or includes a specific arrangement or ordering of strings that is determined or provided by a particular agent or source.
-
C.
availableDisplaySizes
Indicates the set of display size options that can be provided or used for a given entity.
-
D.
aircraftConfiguration
Indicates the specific arrangement or setup of an aircraft’s components, systems, or features for a given purpose or operating condition.
-
E.
displayConfiguration
Indicates a relationship where one entity defines or presents the arrangement, layout, or settings used to visually display another entity.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e50a80819098920d9190c30225 |
completed | April 19, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:51 a.m.