Triple
T26070540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VLBA antenna at North Liberty, Iowa |
E657530
|
entity |
| Predicate | numberOfAntennasInArray |
P30169
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [VLBA antenna at North Liberty, Iowa, numberOfAntennasInArray, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAntennasInArray Context triple: [VLBA antenna at North Liberty, Iowa, numberOfAntennasInArray, 10]
-
A.
numberOfAntennas
chosen
Indicates the quantity of antennas that an entity possesses or is associated with.
-
B.
numberOfAntennasInitial
Indicates the initial count of antennas associated with an entity before any changes or updates occur.
-
C.
numberOfAntennasPlanned
Indicates the planned or intended count of antennas associated with an entity or installation.
-
D.
radarAntennaArrangement
Indicates how radar antennas are positioned, configured, or arranged relative to each other or to a platform.
-
E.
antennaSegments
Indicates that one entity has a specified number or type of segmented parts in its antenna structure in relation to 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: April 26, 2026, 7:28 p.m.