Triple
T12095693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melville High School |
E288064
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Kempsey |
E53859
|
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: Kempsey | Statement: [Melville High School, hasCity, Kempsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kempsey Context triple: [Melville High School, hasCity, Kempsey]
-
A.
Kempsey
chosen
Kempsey is a town in New South Wales, Australia, situated on the Macleay River and serving as a regional centre on the state’s Mid North Coast.
-
B.
Kempsey
Kempsey is a village and civil parish in Worcestershire, England, situated just south of Worcester near the River Severn.
-
C.
Deniliquin
Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster festival.
-
D.
Inverell
Inverell is a rural town in northern New South Wales, Australia, known for its sapphire mining and agricultural production.
-
E.
Benalla
Benalla is a regional town in northeastern Victoria, Australia, known for its art, lake, and role as a service centre along major transport routes.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91552645c81909aff601ab3d3c0e6 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0d2818c8190a1bea5f1fc8a9f59 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 8, 2026, 9:48 p.m.