Triple
T192767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z boson |
E3755
|
entity |
| Predicate | lifetime |
P585
|
FINISHED |
| Object | ~3.0×10^-25 s |
—
|
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: ~3.0×10^-25 s | Statement: [Z boson, lifetime, ~3.0×10^-25 s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifetime Context triple: [Z boson, lifetime, ~3.0×10^-25 s]
-
A.
lifespan
chosen
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
B.
livedDuring
Indicates that the subject existed or was alive at some point within the time period or lifespan associated with the object.
-
C.
lifeDetails
Indicates that additional information or specific aspects about an entity’s life (such as background, experiences, or personal history) are being described.
-
D.
lifestyle
Indicates that an entity’s way of living or habitual behaviors are associated with, influence, or characterize another entity or outcome.
-
E.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a259669ba08190a5be1d2e10e70b27 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a2567567508190b3a41329a15c7156 |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.