Triple
T22842221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LNGS underground halls |
E566111
|
entity |
| Predicate | hostsExperiment |
P1591
|
FINISHED |
| Object | DAMA/LIBRA |
—
|
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: DAMA/LIBRA | Statement: [LNGS underground halls, hostsExperiment, DAMA/LIBRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DAMA/LIBRA Context triple: [LNGS underground halls, hostsExperiment, DAMA/LIBRA]
-
A.
DAMA/LIBRA
chosen
DAMA/LIBRA is a dark matter direct-detection experiment that uses highly radiopure sodium iodide scintillators to search for an annual modulation signal in underground measurements.
-
B.
BDA
BDA is the official abbreviation for the BDA Prize, an award recognizing excellence in architecture and design.
-
C.
BDA
BDA is the IATA airport code for L.F. Wade International Airport, the main international gateway to Bermuda.
-
D.
BDA
BDA is the common abbreviation for Blu-ray Disc, a high-definition optical disc format used for storing and playing back movies, games, and other digital media.
-
E.
BDA
BDA is the commonly used abbreviation for the Beijing Economic-Technological Development Area, a major high-tech industrial and economic zone in Beijing, China.
- 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.