Triple
T22842103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OPERA |
E566109
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | LNGS |
—
|
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: LNGS | Statement: [OPERA, locatedIn, LNGS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LNGS Context triple: [OPERA, locatedIn, LNGS]
-
A.
LNGS
chosen
LNGS is the Gran Sasso National Laboratory in Italy, one of the world’s largest underground research centers for particle and astroparticle physics.
-
B.
LNGS underground halls
LNGS underground halls are large subterranean laboratory caverns at Italy’s Gran Sasso National Laboratory, designed to host sensitive physics experiments shielded from cosmic radiation.
-
C.
LGC
LGC is the three-letter IATA airport code for LaGrange–Callaway Airport in LaGrange, Georgia, United States.
-
D.
LGS
LGS is a severe, childhood-onset epileptic encephalopathy characterized by multiple types of seizures, cognitive impairment, and a distinctive EEG pattern.
-
E.
LGS
LGS is the geological survey code used to designate the Lower Greensand Group, a Cretaceous sedimentary rock formation in the United Kingdom.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e855abc8190b9cf8cc515090a7f |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.