Triple
T20676592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OCA |
E508173
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | OCA |
—
|
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: OCA | Statement: [OCA, abbreviation, OCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OCA Context triple: [OCA, abbreviation, OCA]
-
A.
OCA
chosen
OCA is a research institution known for its scientific collaboration on projects such as the MICROSCOPE space mission.
-
B.
OCA
OCA is the commonly used abbreviation for the Orthodox Church in America, an autocephalous Eastern Orthodox Christian church based in North America.
-
C.
OCA
OCA is the abbreviation for the Office of Canadian Affairs, a U.S. government body responsible for managing diplomatic and policy relations with Canada.
-
D.
OCA
OCA is the governing body responsible for organizing and overseeing multi-sport events and Olympic-related activities across Asia.
-
E.
OCA
OCA is the Texas Office of Court Administration, the state agency that provides administrative, technical, and financial support to the Texas judicial branch.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea24f288190928f828e5f567257 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:44 a.m.