Triple
T19736467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moss Station |
E473995
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Moss town centre |
—
|
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: Moss town centre | Statement: [Moss Station, near, Moss town centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moss town centre Context triple: [Moss Station, near, Moss town centre]
-
A.
Moss town center
Moss town center is the main commercial and administrative hub of the coastal city of Moss in southeastern Norway.
-
B.
Moss city centre
chosen
Moss city centre is the main commercial and administrative hub of the coastal town of Moss in southeastern Norway.
-
C.
Moss Park
Moss Park is a downtown Toronto neighbourhood known for its large public housing complexes, community services, and proximity to the city’s core.
-
D.
Mosswood Park
Mosswood Park is a historic public park in Oakland, California, known for its recreation facilities, open green spaces, and community events.
-
E.
Moss city hall
Moss city hall is the main administrative and political center of the city of Moss in Norway, housing the offices and chambers of the local government.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515ddea881909ea831b7bc16d934 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.