Triple
T23312582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DELPHI |
E590622
|
entity |
| Predicate | collaborationWith |
P398
|
FINISHED |
| Object | OPAL |
—
|
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: OPAL | Statement: [DELPHI, collaborationWith, OPAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OPAL Context triple: [DELPHI, collaborationWith, 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.
OPAL
OPAL is the abbreviation for the American Society of Civil Engineers' prestigious Outstanding Projects and Leaders Award, which honors exceptional achievements and leadership in civil engineering.
-
C.
OPA
OPA is a U.S. federal agency within the Department of Health and Human Services that oversees family planning, adolescent health, and related population affairs programs.
-
D.
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.
-
E.
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.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972ca70481909e2415c65964210a |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:06 p.m.