Triple
T29122700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-47 |
E738130
|
entity |
| Predicate | experimentCount |
P79164
|
FINISHED |
| Object | over 40 experiments |
—
|
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: over 40 experiments | Statement: [STS-47, experimentCount, over 40 experiments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: experimentCount Context triple: [STS-47, experimentCount, over 40 experiments]
-
A.
experimentNumber
Indicates the specific identifying number assigned to an experiment within a set of experiments.
-
B.
numberOfExperiments
chosen
Indicates the total count of experiments associated with or performed in a given context or entity.
-
C.
trialNumber
Indicates the ordinal position or sequence index of a specific trial within a series of trials.
-
D.
experimentedOn
Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
-
E.
showedInExperiments
Indicates that something was demonstrated or observed to occur within the context of experiments.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 11:26 a.m.