Triple
T210672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kretschmann scalar |
E4709
|
entity |
| Predicate | helpsIdentify |
P9157
|
FINISHED |
| Object | true curvature singularities independent of coordinates |
—
|
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 curvature singularities independent of coordinates | Statement: [Kretschmann scalar, helpsIdentify, true curvature singularities independent of coordinates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsIdentify Context triple: [Kretschmann scalar, helpsIdentify, true curvature singularities independent of coordinates]
-
A.
recognizedAs
Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
-
B.
identifierFor
Indicates that one entity serves as a unique identifying label or code for another entity.
-
C.
selfIdentification
Indicates that an entity defines or declares its own identity, attributes, or classification about itself.
-
D.
recognizedFor
Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
-
E.
recognizedIn
Indicates that an entity is formally acknowledged, honored, or given recognition within a particular context, setting, or domain.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b4f71b88190866c8262922ae204 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25d3463648190ac716d7475378536 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.