Triple
T23269334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Large Volume Detector |
E588245
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | LVD |
—
|
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: LVD | Statement: [Large Volume Detector, abbreviation, LVD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LVD Context triple: [Large Volume Detector, abbreviation, LVD]
-
A.
LVD
chosen
LVD (Large Volume Detector) is an underground neutrino observatory designed to detect neutrinos from supernovae and other astrophysical sources.
-
B.
ELV
ELV is a launch pad at the Guiana Space Centre in French Guiana used primarily for launching European Vega rockets.
-
C.
BLV
BLV is the IATA airport code for MidAmerica St. Louis Airport, a joint-use civilian and military airfield at Scott Air Force Base in Illinois, USA.
-
D.
BLV
BLV is the Swiss Federal Food Safety and Veterinary Office, the national authority responsible for protecting public health and animal welfare through regulation and oversight of food safety and veterinary matters.
-
E.
VDE
VDE is the IATA airport code for El Hierro Airport in Spain’s Canary Islands.
- 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.