Triple
T23208435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onora O'Neill |
E580523
|
entity |
| Predicate | honorificSuffix |
P341
|
FINISHED |
| Object | FBA |
—
|
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: FBA | Statement: [Onora O'Neill, honorificSuffix, FBA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FBA Context triple: [Onora O'Neill, honorificSuffix, FBA]
-
A.
FBA
chosen
FBA is the post-nominal designation used to indicate a Fellow of the British Academy, recognizing distinguished achievement in the humanities and social sciences.
-
B.
FBA
FBA is the Fitzroy Basin Association, a regional natural resource management organization focused on sustainable land and water management in Central Queensland, Australia.
-
C.
FBB
FBB is the operating company responsible for managing Berlin Brandenburg Airport and related airport facilities in the Berlin region.
-
D.
F.B.A.
F.B.A. is an abbreviated form of the term "FBA," commonly used to denote "Fulfillment by Amazon" in e-commerce contexts.
-
E.
FVBU
FVBU is the ICAO airport code for Joshua Mqabuko Nkomo International Airport in Bulawayo, Zimbabwe.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907ea2b08190b97c146a4b22d293 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.