Triple
T23269665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GALLEX |
E588251
|
entity |
| Predicate | relatedExperiment |
P37
|
FINISHED |
| Object | GNO |
—
|
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: GNO | Statement: [GALLEX, relatedExperiment, GNO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNO Context triple: [GALLEX, relatedExperiment, GNO]
-
A.
GNO
chosen
GNO is a physics experiment conducted at Italy’s Gran Sasso National Laboratory that studied solar neutrinos to investigate properties of the Sun and neutrino oscillations.
-
B.
GNA
GNA is the acronym for the Argentine National Gendarmerie, a federal security force responsible for border protection, rural security, and supporting national law enforcement in Argentina.
-
C.
KGN
KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
-
D.
GOC
GOC is the standardised set of spelling and writing rules used for modern Scottish Gaelic.
-
E.
KGNV
KGNV is the ICAO airport code for Gainesville Regional Airport, a public airport serving Gainesville, Florida.
- 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_69f1957324bc8190b8b53d4b18386151 |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:45 p.m.