Triple
T1083547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Bang nucleosynthesis |
E24000
|
entity |
| Predicate | timeAfterBigBang |
P1936
|
FINISHED |
| Object | first few minutes |
—
|
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: first few minutes | Statement: [Big Bang nucleosynthesis, timeAfterBigBang, first few minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeAfterBigBang Context triple: [Big Bang nucleosynthesis, timeAfterBigBang, first few minutes]
-
A.
timeExistence
Indicates the period or duration during which an entity exists or is valid.
-
B.
timescale
Indicates the temporal scale or duration over which a process, relationship, or effect occurs or is evaluated.
-
C.
timeInMyth
Indicates that an entity exists or occurs during a specific time period within a mythological narrative or tradition.
-
D.
time
chosen
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
E.
timeTravelTo
Indicates traveling from one point in time to another, typically different, point in time.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b95e56948190a1e92367ad7240b7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73f4310819086281f8ec67d1a32 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.