Triple
T21370691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worthington Park |
E527049
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sale |
—
|
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: Sale | Statement: [Worthington Park, locatedIn, Sale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sale Context triple: [Worthington Park, locatedIn, Sale]
-
A.
Sale
Sale is a regional city in the Gippsland region of eastern Victoria, Australia, known as an administrative and service centre for the surrounding rural and coastal areas.
-
B.
Sale
chosen
Sale is a town in Greater Manchester, England, known as a residential suburb within the Metropolitan Borough of Trafford.
-
C.
Venta
Venta is a major river in the Baltic region that flows through western Latvia and Lithuania before emptying into the Baltic Sea.
-
D.
Sellin
Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
-
E.
Sellin
Sellin is a German-language surname borne by various notable individuals, including scholars and public figures.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ae92c88190a3d3097f5b268a79 |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:10 p.m.