Triple
T12485619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Lofty Ranges |
E298423
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Crafers |
E319383
|
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: Crafers | Statement: [Mount Lofty Ranges, contains, Crafers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crafers Context triple: [Mount Lofty Ranges, contains, Crafers]
-
A.
Crafers
chosen
Crafers is a small township in the Adelaide Hills region of South Australia, known as a gateway to nearby national parks and scenic hill landscapes.
-
B.
Blyford
Blyford is a small rural village located in the English county of Suffolk.
-
C.
Kilndown
Kilndown is a small rural village in Kent, England, known for its historic church and woodland surroundings.
-
D.
Brackenfell
Brackenfell is a residential suburb in the northern part of Cape Town, South Africa, known for its family-friendly neighborhoods and proximity to major transport routes and shopping centers.
-
E.
Southrey
Southrey is a small village in Lincolnshire, England, situated within the civil parish of Bardney.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94ddf0b6c8190aff4fe267d8f6efe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2b5ed481909ead4f5b96d44064 |
completed | May 2, 2026, 6:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.