Triple
T22842172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LNGS |
E566110
|
entity |
| Predicate | hasExperiment |
P37454
|
FINISHED |
| Object | XENON |
—
|
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: XENON | Statement: [LNGS, hasExperiment, XENON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XENON Context triple: [LNGS, hasExperiment, XENON]
-
A.
XENON
chosen
XENON is a series of underground dark matter detection experiments using liquid xenon time projection chambers to search for weakly interacting massive particles (WIMPs).
-
B.
Borexino
Borexino is a large liquid scintillator neutrino detector located at Italy’s Gran Sasso National Laboratory, designed to study low-energy solar and other neutrinos with extremely low background levels.
-
C.
XMASS
XMASS is a Japanese underground physics experiment that uses a large liquid xenon detector to search for dark matter and study rare particle interactions.
-
D.
Xenos
Xenos is a contemporary dance-theatre production by acclaimed choreographer Akram Khan that explores themes of war, memory, and colonialism through the story of an Indian soldier in World War I.
-
E.
X-32
X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
- 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.