Triple
T8337034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Adur |
E195813
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Small Dole |
E717066
|
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: Small Dole | Statement: [River Adur, passesNear, Small Dole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Small Dole Context triple: [River Adur, passesNear, Small Dole]
-
A.
Small Dole
chosen
Small Dole is a small village in West Sussex, England, situated within the civil parish of Upper Beeding.
-
B.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
-
C.
Yummy Bingham
Yummy Bingham is an American R&B and soul singer-songwriter known for her distinctive, youthful vocals and collaborations with prominent hip-hop and R&B artists.
-
D.
Doo-Dah
Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
-
E.
Little Giant
"Little Giant" was the famous nickname of Stephen A. Douglas, a prominent 19th-century American politician known for his influential role in pre–Civil War debates and legislation.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd5027c81909724f25aa30bbe58 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95e17300819090e405c4c60b280d |
completed | April 1, 2026, 10:02 p.m. |
Created at: March 30, 2026, 5:57 p.m.