Triple
T25750391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesis |
E648455
|
entity |
| Predicate | sampleCollectionDuration |
P9341
|
FINISHED |
| Object | about 2.3 years |
—
|
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: about 2.3 years | Statement: [Genesis, sampleCollectionDuration, about 2.3 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sampleCollectionDuration Context triple: [Genesis, sampleCollectionDuration, about 2.3 years]
-
A.
collectionTimespan
chosen
Indicates the time period over which a collection exists, is accumulated, or is considered valid.
-
B.
sampleCollected
Indicates that a sample has been obtained or gathered from a source as part of a collection process.
-
C.
sessionLength
Indicates the duration of time that a particular session lasts from start to end.
-
D.
samplingCycle
Indicates the recurring interval or sequence in which sampling or measurement actions are performed.
-
E.
sampleNumber
Indicates that an entity is identified or associated with a specific sample number within a set of samples.
- 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 22, 2026, 4:34 a.m.