Triple
T20690666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donaldson–Witten theory |
E508540
|
entity |
| Predicate | metricDependence |
P141094
|
FINISHED |
| Object | Q-exact up to topological terms |
—
|
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: Q-exact up to topological terms | Statement: [Donaldson–Witten theory, metricDependence, Q-exact up to topological terms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metricDependence Context triple: [Donaldson–Witten theory, metricDependence, Q-exact up to topological terms]
-
A.
metricDependsOn
Indicates that the value or definition of one metric is determined by, derived from, or otherwise reliant on another metric.
-
B.
measurementDependsOn
Indicates that one measurement is derived from, influenced by, or requires another measurement in order to be defined or computed.
-
C.
performanceDependsOn
Indicates that the quality or outcome of one entity’s performance is contingent upon or influenced by another specified factor or entity.
-
D.
metricType
Indicates the specific category or kind of measurement that a given metric represents.
-
E.
metricComponent
Indicates a relationship where one element functions as a component or constituent part of a larger metric.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10d83548190a52b9ef84c8f9205 |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:08 p.m.