Triple
T23737871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type I supergravity |
E586585
|
entity |
| Predicate | fieldContentIncludes |
P1393
|
FINISHED |
| Object | metric tensor |
—
|
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: metric tensor | Statement: [Type I supergravity, fieldContentIncludes, metric tensor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldContentIncludes Context triple: [Type I supergravity, fieldContentIncludes, metric tensor]
-
A.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
-
B.
contentIs
Indicates that one entity serves as, or is equivalent to, the content contained within another entity.
-
C.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
D.
fieldComposition
Indicates how the components or elements within a field are organized, combined, or structured in relation to one another.
-
E.
dataIncluded
Indicates that one data item or dataset contains, incorporates, or subsumes another as part of its contents.
- F. None of above.
Provenance (3 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad356c88190ae29ce403145ee73 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:11 p.m.