Triple
T29734349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type IIA string theory |
E752413
|
entity |
| Predicate | hasBraneChargeQuantization |
P177339
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Type IIA string theory, hasBraneChargeQuantization, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBraneChargeQuantization Context triple: [Type IIA string theory, hasBraneChargeQuantization, yes]
-
A.
hasElectricChargeQuantization
Indicates that the electric charge of an entity can only take on discrete, quantized values rather than varying continuously.
-
B.
magneticChargeQuantization
Indicates that the magnetic charge of an entity can only take on discrete, quantized values rather than varying continuously.
-
C.
hasChargeQuantizationLabeledBy
Indicates that the charge quantization of one entity is specified or categorized using another entity as its label or classifier.
-
D.
hasChargeConjugation
Indicates that one entity is the charge-conjugated counterpart (particle vs. antiparticle form) of another entity.
-
E.
magneticCharge
Indicates that an entity possesses a specified magnetic charge or is associated with a particular quantity or type of magnetic charge.
- 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_69f0d62a36a88190bf860f00da433ff8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 28, 2026, 7:44 p.m.