Triple
T36470037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liouville surface |
E898516
|
entity |
| Predicate | hasMetricForm |
P45444
|
FINISHED |
| Object | g = (A(u)+B(v))(du^2 + dv^2) in suitable coordinates |
—
|
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: g = (A(u)+B(v))(du^2 + dv^2) in suitable coordinates | Statement: [Liouville surface, hasMetricForm, g = (A(u)+B(v))(du^2 + dv^2) in suitable coordinates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetricForm Context triple: [Liouville surface, hasMetricForm, g = (A(u)+B(v))(du^2 + dv^2) in suitable coordinates]
-
A.
hasAssociatedMetric
Indicates that an entity is linked to a specific metric used to quantify, evaluate, or monitor some aspect of that entity.
-
B.
hasMetricType
Indicates that something is associated with or characterized by a specific type or category of metric.
-
C.
hasMeter
Indicates that one entity possesses, uses, or is associated with a specific meter (a measuring device or metrical pattern).
-
D.
metricForm
chosen
Indicates that one entity is expressed or represented in a particular metric form or measurement format relative to another.
-
E.
isMetric
Indicates that something satisfies the properties required to be considered a metric, such as defining distances that obey non-negativity, identity, symmetry, and the triangle inequality.
- 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_69ff6074bcd4819090b72cd6209ff206 |
completed | May 9, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69ff600aba888190812a6e7eca0283b8 |
completed | May 9, 2026, 4:25 p.m. |
Created at: May 3, 2026, 4:10 p.m.