Triple
T23269505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CRESST |
E588248
|
entity |
| Predicate | successorExperiment |
P49682
|
FINISHED |
| Object | CRESST-III |
—
|
NE NERFINISHED |
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: CRESST-III | Statement: [CRESST, successorExperiment, CRESST-III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CRESST-III Context triple: [CRESST, successorExperiment, CRESST-III]
-
A.
CRESST
chosen
CRESST is a dark matter search experiment that uses cryogenic detectors to look for rare interactions of weakly interacting massive particles (WIMPs) in an underground laboratory.
-
B.
CREST
CREST is the UK’s central securities depository and electronic settlement system used to hold and settle trades in shares and other securities.
-
C.
CREST
CREST is a regional partnership organization focused on studying, restoring, and managing the Columbia River estuary and its surrounding ecosystems.
-
D.
Irvine–Michigan–Brookhaven detector
The Irvine–Michigan–Brookhaven detector was a large underground water Cherenkov experiment best known for detecting neutrinos from Supernova 1987A and searching for proton decay.
-
E.
Centre for Educational Measurement (CEMO)
The Centre for Educational Measurement (CEMO) is a research centre at the University of Oslo specializing in educational assessment, psychometrics, and the analysis of large-scale educational data.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957219188190b30bceffad1542da |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:45 p.m.