Triple
T23262712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NICE Bus |
E582055
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | NICE |
—
|
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: NICE | Statement: [NICE Bus, acronym, NICE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NICE Context triple: [NICE Bus, acronym, NICE]
-
A.
NICE
NICE is the United Kingdom’s national body that develops evidence-based guidance and standards to improve health and social care.
-
B.
NICE fare system
chosen
The NICE fare system is the payment and ticketing structure used by Nassau Inter-County Express buses in Nassau County, New York, enabling riders to pay and validate fares for local and regional bus services.
-
C.
NISIC
NISIC is a U.S. government information center that provides centralized resources and data on invasive species to support research, management, and public awareness.
-
D.
Nice
Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
-
E.
Nice
Nice is a cabin class offered by Breeze Airways that provides a standard, budget-friendly economy experience for passengers.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194caaf208190931923744692180d |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.