Triple
T21421562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the One and the many |
E528449
|
entity |
| Predicate | isAKeyThemeIn |
P64673
|
FINISHED |
| Object | Presocratic cosmology |
—
|
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: Presocratic cosmology | Statement: [the One and the many, isAKeyThemeIn, Presocratic cosmology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAKeyThemeIn Context triple: [the One and the many, isAKeyThemeIn, Presocratic cosmology]
-
A.
keyThemeIn
chosen
Indicates that a particular theme is a central or primary thematic focus within a given work, context, or subject.
-
B.
themeKey
Indicates that one entity serves as the primary subject, topic, or thematic focus associated with another entity.
-
C.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
D.
hasThemeInStory
Indicates that a particular theme is present or plays a significant role within a given story.
-
E.
containsThemeArea
Indicates that one entity includes or encompasses a specific thematic area as part of its scope or content.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2d08b508190bbd66a0b8eb66516 |
completed | April 22, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:48 p.m.