Triple
T3236696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerr Penrose diagram |
E67870
|
entity |
| Predicate | abstractsFrom |
P31882
|
FINISHED |
| Object | astrophysical formation and evaporation processes |
—
|
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: astrophysical formation and evaporation processes | Statement: [Kerr Penrose diagram, abstractsFrom, astrophysical formation and evaporation processes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abstractsFrom Context triple: [Kerr Penrose diagram, abstractsFrom, astrophysical formation and evaporation processes]
-
A.
abstracts
Indicates that one entity generalizes, conceptualizes, or derives an abstract representation from another entity or set of details.
-
B.
includesAbstract
Indicates that one entity contains or incorporates the abstract or summary section of another entity.
-
C.
abridgedIn
Indicates that one entity is a shortened or condensed version of the content found within another entity.
-
D.
summarizes
chosen
Indicates that one entity provides a concise representation or overview of the main points or content of another entity.
-
E.
arxivId
Indicates that an entity (such as a paper or work) is associated with a specific arXiv identifier used to reference it in the arXiv repository.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaee05d34819095dbce4db6ac8613 |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ada4159e0481908cbbdd750f5e08c7 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:08 p.m.