Triple
T23984491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altgraf |
E604593
|
entity |
| Predicate | denotesVariantOf |
P154137
|
FINISHED |
| Object | Graf |
—
|
NE NERFINISHED |
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: Graf | Statement: [Altgraf, denotesVariantOf, Graf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesVariantOf Context triple: [Altgraf, denotesVariantOf, Graf]
-
A.
likelyVariantOf
Indicates that one entity is probably a variant, version, or alternative form of another entity, based on available evidence or similarity.
-
B.
isShortenedVariantOf
Indicates that one form of an expression is a shortened or abbreviated version of another, longer form.
-
C.
exportVariantOf
Indicates that one entity is an exported version or externally released form derived from another, original entity.
-
D.
rulesVariantOf
Indicates that one set of rules is a modified or alternative version derived from another set of rules.
-
E.
playsVariantOf
Indicates that one entity performs, uses, or engages with a version or adaptation of another entity, typically differing in form, rules, or style from the original.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2c10c708190922daf3b3b9555f4 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 9:31 p.m.