Triple
T35957165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Synurophyceae |
E1039899
|
entity |
| Predicate | scaleLocation |
P184275
|
FINISHED |
| Object | cell surface |
—
|
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: cell surface | Statement: [Synurophyceae, scaleLocation, cell surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleLocation Context triple: [Synurophyceae, scaleLocation, cell surface]
-
A.
scalePosition
Indicates the relative location or index of an element within a defined scale or ordered measurement framework.
-
B.
slotLocation
Indicates the specific position or compartment within a larger container or system where an item is placed or assigned.
-
C.
scalingProperty
Indicates how a quantity or behavior changes in proportion to changes in another variable, typically under resizing or rescaling conditions.
-
D.
scaleUsed
Indicates that a particular scale or measurement system is employed in performing, recording, or interpreting an action or relationship.
-
E.
scaledVia
Indicates that one entity’s size, magnitude, or intensity is adjusted in proportion to another entity or factor.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:07 p.m.