Triple
T10501715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesis Rock |
E247687
|
entity |
| Predicate | sampleNumber |
P94502
|
FINISHED |
| Object | 15415 |
—
|
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: 15415 | Statement: [Genesis Rock, sampleNumber, 15415]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sampleNumber Context triple: [Genesis Rock, sampleNumber, 15415]
-
A.
sampleSize
Indicates the number of units, observations, or instances included in a particular study, experiment, or dataset.
-
B.
sampleType
Indicates the classification or category of a sample in relation to a broader set of samples or experimental conditions.
-
C.
samplingCycle
Indicates the recurring interval or sequence in which sampling or measurement actions are performed.
-
D.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
-
E.
samplingUnit
Indicates that one entity serves as the basic unit or element from which samples are drawn or measured in a sampling process.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099b797c8190a94803fa94eb6981 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe46a6448190b061bc3545835cad |
completed | April 7, 2026, 12:53 p.m. |
Created at: April 6, 2026, 12:25 p.m.