Triple
T11509009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FlexPass |
E272859
|
entity |
| Predicate | discontinuedInFavorOf |
P49004
|
FINISHED |
| Object | ORCA business products |
E211950
|
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: ORCA business products | Statement: [FlexPass, discontinuedInFavorOf, ORCA business products]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORCA business products Context triple: [FlexPass, discontinuedInFavorOf, ORCA business products]
-
A.
ORCA
ORCA is a widely used, versatile quantum chemistry software package known for its efficient and accurate implementations of electronic structure methods, including density functional theory.
-
B.
ORCA
chosen
ORCA is a regional smart transit card system used for paying fares across multiple public transportation agencies in the Puget Sound region of Washington State.
-
C.
ORC
ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
-
D.
ORC
ORC is the abbreviation for the Organized Reserve Corps, a former component of the United States Army Reserve structure.
-
E.
Orion Business
Orion Business is a specialist business and management book imprint of the UK-based Orion Publishing Group.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db65eb081908613a1002c6a4fb4 |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624f5c9608190bde28a59860b3c93 |
completed | April 20, 2026, 1:07 p.m. |
Created at: April 8, 2026, 9:36 p.m.