Triple
T29694175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2-branes |
E751296
|
entity |
| Predicate | relatedByCompactificationTo |
P203520
|
FINISHED |
| Object | D2-branes and fundamental strings in 10D string theories |
—
|
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: D2-branes and fundamental strings in 10D string theories | Statement: [M2-branes, relatedByCompactificationTo, D2-branes and fundamental strings in 10D string theories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedByCompactificationTo Context triple: [M2-branes, relatedByCompactificationTo, D2-branes and fundamental strings in 10D string theories]
-
A.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
B.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
C.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
D.
relatedToTerm
Indicates a general, non-specific relationship or association between one term and another.
-
E.
moreCloselyRelatedTo
Indicates that one entity has a stronger or closer relationship, connection, or similarity to a second entity than to some other reference entity.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a019b8995dc819088727aa023beadce |
completed | May 11, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_6a01961bb748819096a941f1b5443908 |
completed | May 11, 2026, 8:40 a.m. |
| PDg | Predicate description generation | batch_6a019b88bbc88190924c1f0cdea6dd79 |
completed | May 11, 2026, 9:04 a.m. |
Created at: April 28, 2026, 7:19 p.m.