Triple
T4264398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allen Telescope Array |
E96788
|
entity |
| Predicate | initialOperationalAntennas |
P21267
|
FINISHED |
| Object | 42 |
—
|
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: 42 | Statement: [Allen Telescope Array, initialOperationalAntennas, 42]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialOperationalAntennas Context triple: [Allen Telescope Array, initialOperationalAntennas, 42]
-
A.
numberOfAntennasInitial
chosen
Indicates the initial count of antennas associated with an entity before any changes or updates occur.
-
B.
numberOfAntennasPlanned
Indicates the planned or intended count of antennas associated with an entity or installation.
-
C.
numberOfAntennas
Indicates the quantity of antennas that an entity possesses or is associated with.
-
D.
minimumOperationalSatellites
Indicates the smallest number of satellites required for a system or mission to function at its intended operational capacity.
-
E.
numberOfSatellites
Indicates the quantity of satellites that are associated with or orbit a given 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fc94f64819091f438d8ae5ed687 |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.