Triple
T6366611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Sasso National Laboratory |
E143243
|
entity |
| Predicate | hostsExperiment |
P1591
|
FINISHED |
| Object | OPERA |
E135686
|
NE FINISHED |
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: OPERA | Statement: [Gran Sasso National Laboratory, hostsExperiment, OPERA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OPERA Context triple: [Gran Sasso National Laboratory, hostsExperiment, OPERA]
-
A.
OPERA
chosen
OPERA was a long-baseline neutrino oscillation experiment at the Gran Sasso National Laboratory in Italy, designed to detect tau neutrinos in a beam sent from CERN.
-
B.
Opera
Opera is a web browser known for its built-in features like a free VPN, ad blocker, and integrated messaging tools.
-
C.
Opera
Opera is a metro station on Cairo's Line 2 serving the downtown area near the Cairo Opera House and surrounding cultural landmarks.
-
D.
opera "Prima Donna"
"Prima Donna" is a French-language opera by singer-songwriter Rufus Wainwright that explores the life and struggles of an aging opera diva.
-
E.
The World of Opera
The World of Opera is a fantasy setting centered on grand operatic themes, performances, and drama within the broader Secondary Worlds universe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06811de2881909ead116117956981 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d8059588190a7d052889b25a8b6 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:32 p.m.