Triple
T4843409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moss, Norway |
E108229
|
entity |
| Predicate | hasUrbanAreaName |
P5155
|
FINISHED |
| Object | Moss |
E50834
|
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: Moss | Statement: [Moss, Norway, hasUrbanAreaName, Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moss Context triple: [Moss, Norway, hasUrbanAreaName, Moss]
-
A.
Moss
chosen
Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
-
B.
Moss
Moss is a masculine given name most notably borne by American playwright and director Moss Hart.
-
C.
Moss
Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
-
D.
Shadowmoss
Shadowmoss is a tram stop on the Manchester Metrolink network in the Wythenshawe area of Greater Manchester, England.
-
E.
Marches Mosses
Marches Mosses is a large, internationally important lowland raised bog complex on the English–Welsh border, renowned for its rare wildlife and peatland restoration efforts.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cff1b008190b537feea0e0cc88f |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cd29c9c8190ab4ca5463ef99c15 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:25 p.m.