Triple
T4788945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greta |
E106553
|
entity |
| Predicate | localGovernmentArea |
P3379
|
FINISHED |
| Object | Cessnock City |
E450912
|
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: Cessnock City | Statement: [Greta, localGovernmentArea, Cessnock City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cessnock City Context triple: [Greta, localGovernmentArea, Cessnock City]
-
A.
Cessnock City
chosen
Cessnock City is a local government area in the Hunter Region of New South Wales, Australia, known for its wine-producing regions and rural communities.
-
B.
Knightdale
Knightdale is a suburban town in Wake County, North Carolina, located just east of Raleigh within the state’s Research Triangle region.
-
C.
Ochre City
Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
-
D.
King City
King City is a small community named after and located within the municipality of King in Ontario, Canada.
-
E.
Kingsland
Kingsland is a vibrant inner-city suburb of Auckland, New Zealand, known for its cafes, bars, and proximity to Eden Park stadium.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65db847081908f5456724a2bdc65 |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43e504488190b55cd745f82e9897 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:22 p.m.