Triple
T33320369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wess–Zumino–Witten model |
E853118
|
entity |
| Predicate | centralChargeDependsOn |
P109623
|
FINISHED |
| Object | group and level |
—
|
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: group and level | Statement: [Wess–Zumino–Witten model, centralChargeDependsOn, group and level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralChargeDependsOn Context triple: [Wess–Zumino–Witten model, centralChargeDependsOn, group and level]
-
A.
centralCharge
Indicates that an entity has a specific central charge value, typically quantifying a key parameter in a conformal or related physical or mathematical theory.
-
B.
centralChargeDepicts
Indicates that the central charge of an object or system visually represents or symbolically depicts another entity or concept.
-
C.
hasCentralCharge
chosen
Indicates that an entity is associated with, or characterized by, a specific central charge value in a given theoretical or physical framework.
-
D.
centeredCharge
Indicates that an electric charge is positioned at or near the geometric center of an object or system.
-
E.
mainCharge
Indicates that one charge in a set of legal accusations is designated as the primary or most significant offense.
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 1, 2026, 1:33 a.m.