Triple
T20641131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hydraulic boat lift No. 4 at Thieu |
E507225
|
entity |
| Predicate | numberOfLiftsInSeries |
P140876
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Hydraulic boat lift No. 4 at Thieu, numberOfLiftsInSeries, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLiftsInSeries Context triple: [Hydraulic boat lift No. 4 at Thieu, numberOfLiftsInSeries, 4]
-
A.
hasApproximateNumberOfLifts
Indicates that an entity is associated with an estimated or non-exact count of lifts.
-
B.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
C.
typicalNumberOfCycles
Indicates the usual or characteristic count of cycles associated with an entity, process, or event.
-
D.
numberPerLaunch
Indicates the quantity of items or units associated with each individual launch event.
-
E.
numberOfSkiRuns
Indicates the total count of ski runs associated with 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad132ebc8190b557914cf31a9033 |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 11:43 a.m.