Triple
T36469093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koebe function |
E898494
|
entity |
| Predicate | hasSecondDerivative |
P202130
|
FINISHED |
| Object | k''(z) = 4 / (1 - z)^4 |
—
|
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: k''(z) = 4 / (1 - z)^4 | Statement: [Koebe function, hasSecondDerivative, k''(z) = 4 / (1 - z)^4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondDerivative Context triple: [Koebe function, hasSecondDerivative, k''(z) = 4 / (1 - z)^4]
-
A.
hasDerivative
Indicates that one entity is derived, obtained, or produced from another through some transformation, process, or modification.
-
B.
hasSecond
Indicates that one entity is the second item, position, or element in an ordered sequence or pair relative to another entity.
-
C.
hasDerivatives
Indicates that one entity is derived, obtained, or developed from another entity.
-
D.
hasSecondary
Indicates that an entity is associated with an additional or subordinate counterpart beyond its primary one.
-
E.
hasSecondaryPeak
Indicates that an entity exhibits an additional, smaller peak or maximum beyond its primary peak in its profile or behavior.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0056174c908190be99c91a70393e47 |
completed | May 10, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_6a00538e7e08819091ecd4316cd641a1 |
completed | May 10, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_6a0056164adc8190854a043a518e567a |
completed | May 10, 2026, 9:55 a.m. |
Created at: May 3, 2026, 4:10 p.m.