Triple
T20690460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E8×E8 heterotic string theory |
E508536
|
entity |
| Predicate | compactificationTarget |
P141087
|
FINISHED |
| Object | four-dimensional effective 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: four-dimensional effective theory | Statement: [E8×E8 heterotic string theory, compactificationTarget, four-dimensional effective theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compactificationTarget Context triple: [E8×E8 heterotic string theory, compactificationTarget, four-dimensional effective theory]
-
A.
compactificationShape
Indicates the specific geometric or topological form used to compactify extra dimensions or spaces in a theoretical construction.
-
B.
compactObject
Indicates that one entity is a dense, compact astronomical object (such as a white dwarf, neutron star, or black hole) in relation to another entity or context.
-
C.
isOnePointCompactificationOf
Indicates that one topological space is obtained from another by adding a single “point at infinity” so that the resulting space is compact and extends the original space in a minimal way.
-
D.
acquisitionTarget
Indicates that one entity is the intended or actual company or asset being acquired by another in a merger or acquisition transaction.
-
E.
targetComputation
Indicates a relationship where one computation is designated or identified as the specific goal, focus, or intended result among possible computations.
- 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.