Triple
T17723276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis turbine |
E442395
|
entity |
| Predicate | typicalHeadRange |
P13474
|
FINISHED |
| Object | medium head |
—
|
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: medium head | Statement: [Francis turbine, typicalHeadRange, medium head]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHeadRange Context triple: [Francis turbine, typicalHeadRange, medium head]
-
A.
typicalRange
chosen
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
-
B.
typicalOffsetRange
Indicates the usual or expected range of positional or temporal deviation between related elements.
-
C.
rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
-
D.
hornSpanRange
Indicates the range of distances between the tips of an entity’s horns.
-
E.
majorRangeIncludes
Indicates that a major range (such as a primary geographic or categorical span) encompasses or contains another specified range.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47487b4988190b14237a4e6376e9a |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:07 a.m.