Triple
T21418329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wa–Kumasi road |
E528364
|
entity |
| Predicate | terminusA |
P388
|
FINISHED |
| Object | Wa |
—
|
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: Wa | Statement: [Wa–Kumasi road, terminusA, Wa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wa Context triple: [Wa–Kumasi road, terminusA, Wa]
-
A.
Wa
chosen
Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
-
B.
Wa
Wa is an ancient Chinese exonym historically used to refer to the people and early polities of the Japanese archipelago.
-
C.
Wat
Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
-
D.
W
The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
-
E.
W
W is a British pay television channel known for airing entertainment, lifestyle, and reality programming, including original UKTV productions and imported series.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d29f948190b820c92014d1c53a |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:46 p.m.