Triple
T1901754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deal |
E37703
|
entity |
| Predicate | hasNeighbouringTown |
P3883
|
FINISHED |
| Object | Sandwich |
E64008
|
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: Sandwich | Statement: [Deal, hasNeighbouringTown, Sandwich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandwich Context triple: [Deal, hasNeighbouringTown, Sandwich]
-
A.
Sandwich
Sandwich is a historic town on Cape Cod in Massachusetts, known as one of the oldest settlements in New England and a popular coastal tourist destination.
-
B.
SANDWICH
chosen
SANDWICH is a historic town in Kent, England, known as one of the best-preserved medieval towns in the country.
-
C.
Burger
Burger is a common German-origin surname borne by various notable individuals, including former U.S. Chief Justice Warren E. Burger.
-
D.
Scone
Scone is a historic Scottish village best known as the traditional coronation site of Scottish kings and the location of the Stone of Scone.
-
E.
Scone
Scone is a rural town in New South Wales, Australia, known as the "Horse Capital of Australia" for its prominent thoroughbred breeding industry.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb18da27c8190b315b462c857f4c2 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaf558148190b920693e2348190f |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.