Triple
T20690466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E8×E8 heterotic string theory |
E508536
|
entity |
| Predicate | typicalGUTGroup |
P141089
|
FINISHED |
| Object | E6 |
—
|
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: E6 | Statement: [E8×E8 heterotic string theory, typicalGUTGroup, E6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGUTGroup Context triple: [E8×E8 heterotic string theory, typicalGUTGroup, E6]
-
A.
typicalGroup
Indicates that the subject belongs to or represents a standard, characteristic, or commonly occurring group associated with the object.
-
B.
gutType
Indicates the type or classification of a digestive tract or gut associated with an entity.
-
C.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
D.
stomachType
Indicates the kind or classification of stomach an entity has, typically describing its structural or functional type.
-
E.
cultGroupOf
Indicates that one entity is a cult group to which the other entity belongs or is affiliated.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10cb5588190acb88f2c82fc593a |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:08 p.m.