Triple
T33579679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | idèle class group |
E860117
|
entity |
| Predicate | symbolForField |
P179085
|
FINISHED |
| Object | C_K = A_K^×/K^× |
—
|
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: C_K = A_K^×/K^× | Statement: [idèle class group, symbolForField, C_K = A_K^×/K^×]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolForField Context triple: [idèle class group, symbolForField, C_K = A_K^×/K^×]
-
A.
symbolForConstant
Indicates that one entity serves as the symbolic representation or notation used to denote a particular constant.
-
B.
namedForField
Indicates that one entity is named after, or in honor of, a particular field, discipline, or area of study.
-
C.
symbolForState
Indicates that one entity serves as the symbolic representation (such as an icon, emblem, or notation) used to denote or stand for a particular state of another entity.
-
D.
symbolForCurrent
Indicates that something serves as the current or active symbolic representation of another entity or state.
-
E.
fieldNamedFor
Indicates that a particular field (such as a sports field or open area) bears the name of a specified person, group, or entity in their honor.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71c33edac8190a59f6ff19b265fc5 |
completed | May 3, 2026, 9:58 a.m. |
Created at: May 1, 2026, 1:40 a.m.