Triple
T21048860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ADM formalism |
E518520
|
entity |
| Predicate | treatsSpaceAs |
P142634
|
FINISHED |
| Object | sequence of 3-dimensional hypersurfaces |
—
|
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: sequence of 3-dimensional hypersurfaces | Statement: [ADM formalism, treatsSpaceAs, sequence of 3-dimensional hypersurfaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsSpaceAs Context triple: [ADM formalism, treatsSpaceAs, sequence of 3-dimensional hypersurfaces]
-
A.
treatsCaseAs
Indicates that one entity handles, regards, or processes another entity specifically as a case or instance within a particular context or framework.
-
B.
usesSpace
Indicates that one entity occupies, consumes, or makes use of physical or conceptual space associated with another entity.
-
C.
treatsEveryNLPTasAs
Indicates that an entity consistently regards every NLP task as equivalent to, or solvable by, a particular method, perspective, or treatment.
-
D.
treatsRightAs
Indicates that one entity provides medical or therapeutic treatment to another entity who is identified as the right-hand participant in the relationship.
-
E.
treatsLightAs
Indicates that an entity regards or handles light in a particular way or manner.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd79830881909fdac2f0ea48d28c |
completed | April 21, 2026, 4:30 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:34 p.m.