Triple
T10269810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chern classes |
E240803
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Todd class |
E391905
|
NE 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: Todd class | Statement: [Chern classes, relatedTo, Todd class]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd class Context triple: [Chern classes, relatedTo, Todd class]
-
A.
Todd class
chosen
The Todd class is a characteristic class in complex geometry and topology that plays a central role in index theorems by encoding curvature information of complex vector bundles.
-
B.
Y class
Y class is the standard economy fare class used by airlines, typically representing full-fare economy tickets with the least restrictions on changes and refunds.
-
C.
Classe
Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
-
D.
Klas
Klas is a Scandinavian given name, commonly used as a variant of Nicholas.
-
E.
Klass
Klass is a surname most notably associated with Philip J. Klass, an American journalist and prominent UFO skeptic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d270fb088190ba43b6f24e881b94 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f80c25888190a3e8a2c513df7043 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:35 a.m.