Triple
T21818096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendelstein 7-X |
E538653
|
entity |
| Predicate | numberOfPlanarCoils |
P145784
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [Wendelstein 7-X, numberOfPlanarCoils, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPlanarCoils Context triple: [Wendelstein 7-X, numberOfPlanarCoils, 20]
-
A.
toroidalFieldCoilsCount
Indicates the number of toroidal field coils associated with or used in a system or device.
-
B.
hasNumberOfWirePlanes
Indicates that an entity is associated with a specified count of wire planes it possesses or uses.
-
C.
hasNumberOfElectrodes
Indicates the relationship that specifies how many electrodes are associated with a given entity.
-
D.
numberOfActiveElectrodes
Indicates the count of electrodes in a system or device that are currently active or functioning.
-
E.
numberOfAntennasPlanned
Indicates the planned or intended count of antennas associated with an entity or installation.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07ccd0d908190a43af4fcc7d6ca03 |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c670ee608190b9cfdc09de74f0de |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 6:54 p.m.