Triple
T15520725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grimeton Radio Station |
E368958
|
entity |
| Predicate | numberOfAntennaTowers |
P30169
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Grimeton Radio Station, numberOfAntennaTowers, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAntennaTowers Context triple: [Grimeton Radio Station, numberOfAntennaTowers, 6]
-
A.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given entity.
-
B.
numberOfAntennas
chosen
Indicates the quantity of antennas that an entity possesses or is associated with.
-
C.
hasCommunicationTowers
Indicates that one entity possesses, contains, or is equipped with communication towers used for transmitting or receiving signals.
-
D.
numberOfAntennasPlanned
Indicates the planned or intended count of antennas associated with an entity or installation.
-
E.
numberOfAntennasInitial
Indicates the initial count of antennas associated with an entity before any changes or updates occur.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0403543188190abac49d2b9decb89 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:04 a.m.