Triple
T22428702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilligerry Peninsula |
E554438
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object | Salt Ash |
—
|
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: Salt Ash | Statement: [Tilligerry Peninsula, hasLocality, Salt Ash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salt Ash Context triple: [Tilligerry Peninsula, hasLocality, Salt Ash]
-
A.
Salt Ash
chosen
Salt Ash is a small rural locality in the Port Stephens region of New South Wales, Australia, known for its coastal wetlands, sand dunes, and proximity to both Newcastle and Port Stephens.
-
B.
Burnt Ash Road
Burnt Ash Road is a main thoroughfare in the Lee area of southeast London, lined with residential properties, local shops, and community amenities.
-
C.
Cold Ash
Cold Ash is a small village and civil parish in Berkshire, England, situated just north of Newbury and known for its rural character and woodland surroundings.
-
D.
Stir the Ashes
"Stir the Ashes" is a song featured on the album "Scavenger."
-
E.
Beautiful Ashes
"Beautiful Ashes" is a Christian-themed inspirational book co-authored by Beth Shuey that focuses on finding hope, healing, and redemption amid personal hardship and loss.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2f054c819093fbe173c8a4a544 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.