Triple
T8336124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikki Amuka-Bird |
E195789
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | NW |
E160178
|
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: NW | Statement: [Nikki Amuka-Bird, notableWork, NW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NW Context triple: [Nikki Amuka-Bird, notableWork, NW]
-
A.
NW
NW is an abbreviation used as a vehicle registration code associated with the German federal state of North Rhine-Westphalia.
-
B.
NW
chosen
NW is a 2012 novel by British author Zadie Smith that explores the intersecting lives of residents in northwest London, examining themes of class, race, and identity.
-
C.
NW
NW is the vehicle registration code for the German town of Neustadt an der Weinstraße in Rhineland-Palatinate.
-
D.
Northwest (NW)
Northwest (NW) is one of the four geographic quadrants of Washington, D.C., encompassing many of the city’s major neighborhoods, landmarks, and federal institutions.
-
E.
WN
WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd3fc80819097b326119107ad4d |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95d9b92c8190b1eb0e64aa7ea59e |
completed | April 1, 2026, 10:02 p.m. |
Created at: March 30, 2026, 5:57 p.m.