Triple
T29694209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M5-branes |
E751297
|
entity |
| Predicate | stackOfNWorldvolumeTheory |
P167609
|
FINISHED |
| Object | A_{N-1} type 6D (2,0) theory for N coincident M5-branes |
—
|
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: A_{N-1} type 6D (2,0) theory for N coincident M5-branes | Statement: [M5-branes, stackOfNWorldvolumeTheory, A_{N-1} type 6D (2,0) theory for N coincident M5-branes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stackOfNWorldvolumeTheory
Context triple: [M5-branes, stackOfNWorldvolumeTheory, A_{N-1} type 6D (2,0) theory for N coincident M5-branes]
-
A.
stackWorldvolumeTheory
chosen
Indicates a relationship where one worldvolume theory is formed by stacking or combining multiple constituent worldvolume theories.
-
B.
worldvolumeDimension
Indicates the number of dimensions of the extended space (worldvolume) in which an object or brane exists or evolves.
-
C.
worldNumber
Indicates the specific world, dimension, or universe identifier associated with an entity or event.
-
D.
stacking
Indicates that one entity is placed directly on top of another, forming a vertical arrangement or pile.
-
E.
oneOfWorlds
Indicates that an entity is a member of, or belongs to, a specified set or collection of possible worlds.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672af46e48190b76e9298e7d23eef |
completed | May 2, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:19 p.m.