Triple
T2414619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamba |
E52273
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Grafton |
E214881
|
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: Grafton | Statement: [Yamba, locatedNear, Grafton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grafton Context triple: [Yamba, locatedNear, Grafton]
-
A.
Grafton
chosen
Grafton is a regional city in northern New South Wales, Australia, known for its historic architecture and annual Jacaranda Festival.
-
B.
Grafton
Grafton is a small rural village located within the district of West Oxfordshire in England.
-
C.
Grafton, Massachusetts
Grafton, Massachusetts is a historic New England town known for its colonial-era roots, traditional town common, and role in the greater Worcester metropolitan area.
-
D.
Fitchburg
Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
-
E.
Winslow
Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94bd7ec81909f5b4a16a406165b |
completed | March 7, 2026, 6:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b6e2cb8819086a9714bd4720ed0 |
completed | March 9, 2026, 8:19 p.m. |
Created at: March 6, 2026, 9:41 p.m.