Triple
T23933554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klebanov–Tseytlin background |
E602565
|
entity |
| Predicate | stringTheoryContext |
P12701
|
FINISHED |
| Object | type IIB string theory |
—
|
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: type IIB string theory | Statement: [Klebanov–Tseytlin background, stringTheoryContext, type IIB string theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stringTheoryContext Context triple: [Klebanov–Tseytlin background, stringTheoryContext, type IIB string theory]
-
A.
languageOfTheoreticalContext
Indicates the language in which the theoretical framework or conceptual context of something is expressed or formulated.
-
B.
extendsTheoryOf
Indicates that one theory builds upon, broadens, or elaborates the concepts, assumptions, or results of another theory.
-
C.
stringiness
Indicates the degree to which something exhibits a fibrous, stretchy, or string-like quality in its texture or structure.
-
D.
coversTheory
Indicates that one entity includes, addresses, or explains the theoretical concepts associated with another entity.
-
E.
occursInTheory
chosen
Indicates that an event, concept, or phenomenon is situated, described, or analyzed within a particular theoretical framework or theory.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cf9da9c4819085880c6ad521d7ed |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:59 p.m.