Triple
T6408715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Large Electron–Positron Collider |
E127652
|
entity |
| Predicate | hostedExperiment |
P1591
|
FINISHED |
| Object | OPAL |
E127243
|
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: OPAL | Statement: [Large Electron–Positron Collider, hostedExperiment, OPAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OPAL Context triple: [Large Electron–Positron Collider, hostedExperiment, OPAL]
-
A.
OPAL
chosen
OPAL was one of the major particle physics experiments at CERN’s Large Electron–Positron Collider, designed to study electron-positron collisions and probe the Standard Model.
-
B.
OPA
OPA is a U.S. federal law enacted in 1990 that strengthens regulations and liability standards for preventing and responding to oil spills in navigable waters and shorelines.
-
C.
OPA
OPA is a high-performance computing interconnect architecture developed by Intel to provide low-latency, high-bandwidth communication in large-scale clusters and supercomputers.
-
D.
OPU
OPU is the central executive office that supports and coordinates the work of the President of Ukraine.
-
E.
OPO
OPO is the vehicle registration code assigned to the Polish city of Opole.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cdf25881908d42a5d979637ad6 |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638b38c888190aa2433173db64c90 |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:41 p.m.