Triple
T22369136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce Tay |
E552990
|
entity |
| Predicate | numberOfSpools |
P147391
|
FINISHED |
| Object | two |
—
|
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: two | Statement: [Rolls-Royce Tay, numberOfSpools, two]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSpools Context triple: [Rolls-Royce Tay, numberOfSpools, two]
-
A.
numberOfSpindles
Indicates the count of spindles associated with or used by a given entity.
-
B.
typicalSpindleCount
Indicates the usual or standard number of spindles associated with an entity in this relationship.
-
C.
numberOfSpokes
Indicates the count of individual spokes associated with or contained in a given object or structure.
-
D.
hasNumberOfSpokes
Indicates the relationship that specifies how many spokes are present in or associated with an object.
-
E.
numberOfNozzles
Indicates the quantity of nozzles associated with or present on a given entity.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158032b748190ad36c7e3809304e9 |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342e9a0081909257210a81c96b29 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:44 p.m.