Triple
T26034832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segré–Silberberg effect |
E647522
|
entity |
| Predicate | typicalEquilibriumLocation |
P91034
|
FINISHED |
| Object | about 0.6 times tube radius from centerline |
—
|
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: about 0.6 times tube radius from centerline | Statement: [Segré–Silberberg effect, typicalEquilibriumLocation, about 0.6 times tube radius from centerline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEquilibriumLocation Context triple: [Segré–Silberberg effect, typicalEquilibriumLocation, about 0.6 times tube radius from centerline]
-
A.
typicalUseLocation
Indicates the usual or most common location where an entity is used or operates.
-
B.
typicalPositionType
Indicates the usual or most common positional role or placement type that an entity generally occupies or is associated with.
-
C.
typicalBalancingPositions
Indicates the standard or commonly used positions in which elements are arranged or adjusted to achieve balance or equilibrium in a given context.
-
D.
oftenLocatedAt
chosen
Indicates that an entity is frequently or commonly found at, or associated with being in, a particular location.
-
E.
eraLocation
Indicates the place or geographic context in which a particular historical era or time period occurs or is primarily associated.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: April 22, 2026, 9:07 a.m.