Triple
T21310432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenue Félix-Faure |
E525317
|
entity |
| Predicate | isInDistrict |
P16988
|
FINISHED |
| Object | centralNice |
—
|
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: centralNice | Statement: [Avenue Félix-Faure, isInDistrict, centralNice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: centralNice Context triple: [Avenue Félix-Faure, isInDistrict, centralNice]
-
A.
NICE
NICE is the United Kingdom’s national body that develops evidence-based guidance and standards to improve health and social care.
-
B.
Nicety
"Nicety" is an R&B song by American singer Michel'le, best known as one of her hit singles from the late 1980s.
-
C.
Nice
chosen
Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
-
D.
Nice
Nice is a cabin class offered by Breeze Airways that provides a standard, budget-friendly economy experience for passengers.
-
E.
The Nice and the Good
The Nice and the Good is a 1968 philosophical novel by Iris Murdoch that intertwines a murder mystery with explorations of morality, love, and human goodness in contemporary English life.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aab14f08190949e1407eb2b3e67 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:09 p.m.