Triple
T19319211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | von Kármán constant |
E483174
|
entity |
| Predicate | assumedConstantFor |
P9148
|
FINISHED |
| Object | high-Reynolds-number wall-bounded turbulence |
—
|
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: high-Reynolds-number wall-bounded turbulence | Statement: [von Kármán constant, assumedConstantFor, high-Reynolds-number wall-bounded turbulence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assumedConstantFor Context triple: [von Kármán constant, assumedConstantFor, high-Reynolds-number wall-bounded turbulence]
-
A.
usesConstant
chosen
Indicates that one entity makes use of a specific constant value defined or provided by another entity.
-
B.
symbolForConstant
Indicates that one entity serves as the symbolic representation or notation used to denote a particular constant.
-
C.
includesConstant
Indicates that one entity contains or explicitly references a specific constant value within its definition or structure.
-
D.
relatedConstant
Indicates that one entity is a fixed, unchanging value or constant that is associated with or linked to another entity.
-
E.
hasVariantConstant
Indicates that one entity is a specific constant-valued variant or fixed-value form of another entity.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d868dd48190b1439a5f4ff58c48 |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.