Triple
T6397125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unruh effect |
E143967
|
entity |
| Predicate | vacuumStateFor |
P70396
|
FINISHED |
| Object | inertial observers |
—
|
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: inertial observers | Statement: [Unruh effect, vacuumStateFor, inertial observers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vacuumStateFor Context triple: [Unruh effect, vacuumStateFor, inertial observers]
-
A.
formerState
Indicates that an entity previously held the status or condition of a particular state but no longer does so.
-
B.
sourceState
Indicates the original or starting state from which a transition, change, or process begins.
-
C.
ultimateState
Indicates the final or end condition that an entity or process ultimately reaches after all preceding stages or transitions.
-
D.
inState
Indicates that an entity is currently located within or belongs to a particular state or condition.
-
E.
canBeVacantWhen
Indicates the conditions or circumstances under which something is allowed or able to remain unoccupied or empty.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06896d180819091548a728e903184 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f25c088190b433f78553ff1d84 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:35 p.m.