Triple
T18456415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cessnock City |
E450912
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Abermain |
—
|
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: Abermain | Statement: [Cessnock City, contains, Abermain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abermain Context triple: [Cessnock City, contains, Abermain]
-
A.
Abermain
chosen
Abermain is a town in the Hunter Region of New South Wales, Australia, known historically for its coal mining and rural community character.
-
B.
Deorham
Deorham is an early medieval site in southwestern England associated with a pivotal 6th-century battle between Anglo-Saxon and Brittonic forces.
-
C.
Edington
Edington is a village in Wiltshire, England, historically notable as the site of King Alfred the Great’s decisive victory over Viking forces in 878 AD.
-
D.
Rawreth
Rawreth is a small rural village and civil parish in Essex, England, known for its agricultural character and proximity to the town of Rayleigh.
-
E.
Dezful
Dezful is a historic city in southwestern Iran, known for its ancient bridges, traditional architecture, and distinctive local culture.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264ce5948190b57baa2ea71297a9 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:31 a.m.