Triple
T20112539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathematics Without Numbers |
E490369
|
entity |
| Predicate | positionOnMathematicalObjects |
P3250
|
FINISHED |
| Object | structuralist |
—
|
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: structuralist | Statement: [Mathematics Without Numbers, positionOnMathematicalObjects, structuralist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnMathematicalObjects Context triple: [Mathematics Without Numbers, positionOnMathematicalObjects, structuralist]
-
A.
positionOn
chosen
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
B.
positionDescribed
Indicates that a position, location, or spatial arrangement of an entity is explicitly specified or characterized, typically in descriptive terms.
-
C.
positionObtainedBy
Indicates that a particular position or role is acquired, achieved, or secured through a specified action, process, or agent.
-
D.
relativePositioning
Indicates how one entity is spatially arranged or located in relation to another entity.
-
E.
positionOnIdentity
Indicates a stance, view, or opinion that an entity holds regarding identity-related issues or characteristics.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e21f908190b46c747662ff378a |
completed | April 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:29 p.m.