Triple
T36468605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenchel–Nielsen coordinates |
E898483
|
entity |
| Predicate | dimensionMatches |
P37400
|
FINISHED |
| Object | dimension of Teichmüller space |
—
|
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: dimension of Teichmüller space | Statement: [Fenchel–Nielsen coordinates, dimensionMatches, dimension of Teichmüller space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dimensionMatches Context triple: [Fenchel–Nielsen coordinates, dimensionMatches, dimension of Teichmüller space]
-
A.
dimensionEquals
chosen
Indicates that two entities have exactly the same dimensional properties or measurements.
-
B.
dimensionStatus
Indicates the current state or condition of a given dimension (such as whether it is active, valid, complete, or in a particular lifecycle phase).
-
C.
dimensionVariant
Indicates a relationship where one entity is a variant or alternative version of another with respect to certain dimensions or configurable attributes.
-
D.
includesDimension
Indicates that one entity encompasses or contains a particular dimension or measurable aspect as part of its definition or structure.
-
E.
dimensionType
Indicates the specific kind or category of dimension that characterizes how something is measured or structured.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.