Triple
T19692549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCHEV |
E472871
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | SCHEV |
—
|
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: SCHEV | Statement: [SCHEV, acronym, SCHEV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCHEV Context triple: [SCHEV, acronym, SCHEV]
-
A.
SCHEV
chosen
SCHEV is Virginia’s coordinating body for higher education, responsible for statewide policy, planning, and oversight of colleges and universities.
-
B.
SCH
SCH is the team abbreviation for the Schaumburg Flyers, a former independent minor league baseball team based in Schaumburg, Illinois.
-
C.
SCHA
SCHA is the stock ticker symbol under which Schibsted, a Nordic media and online marketplace company, is traded on financial markets.
-
D.
SCHA
SCHA is the ICAO airport code for Copiapó Airport, a regional airport serving the city of Copiapó in northern Chile.
-
E.
SCU
SCU is the IATA airport code for Antonio Maceo International Airport serving Santiago de Cuba, Cuba.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64210cddc8190836faa2996a44457 |
completed | April 20, 2026, 3:11 p.m. |
Created at: April 10, 2026, 1:46 p.m.