Triple
T20690415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SO(32) heterotic string theory |
E508535
|
entity |
| Predicate | isSuperstring |
P141079
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SO(32) heterotic string theory, isSuperstring, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSuperstring Context triple: [SO(32) heterotic string theory, isSuperstring, true]
-
A.
isSubsequenceOf
Indicates that one sequence can be derived from another by deleting zero or more elements without changing the order of the remaining elements.
-
B.
areSupersetOf
Indicates that one set contains all elements of another set, possibly along with additional elements.
-
C.
isTrimOf
Indicates that one entity is a version of another with leading and/or trailing whitespace characters removed.
-
D.
isStretchOf
Indicates that one linear feature (such as a road, river, or path) constitutes a continuous segment or portion of another, longer linear feature.
-
E.
isSubsegmentOf
Indicates that one segment is entirely contained within and forms a continuous part of another, larger segment.
- 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.