Triple
T27830510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andernach Geyser |
E703080
|
entity |
| Predicate | maxJetDiameter |
P67408
|
FINISHED |
| Object | several metres |
—
|
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: several metres | Statement: [Andernach Geyser, maxJetDiameter, several metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxJetDiameter Context triple: [Andernach Geyser, maxJetDiameter, several metres]
-
A.
fuselageDiameter
Indicates the diameter measurement of an aircraft’s fuselage in the described context.
-
B.
maximumTrunkDiameter
Indicates the largest thickness of a trunk measured across its widest point.
-
C.
maximumHeightOfWaterJets
Indicates the greatest vertical height that the water jets in a system or installation can reach.
-
D.
nozzleDiameter
chosen
Indicates the size of the opening of a nozzle, typically measured as the diameter of its exit orifice.
-
E.
impactorDiameter
Indicates the size of the object that impacts another body, typically measured as the diameter of the impacting body.
- 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6389b1a308190980360ec13e19549 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:55 p.m.