Triple
T10450690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslofjord region |
E246413
|
entity |
| Predicate | hasPart |
P35
|
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: [Oslofjord region, hasPart, Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moss Context triple: [Oslofjord region, hasPart, 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.
Moss
Moss is a 2022 indie-folk and alternative album by American singer-songwriter and actress Maya Hawke, showcasing her introspective lyrics and mellow, atmospheric sound.
-
E.
Shadowmoss
Shadowmoss is a tram stop on the Manchester Metrolink network in the Wythenshawe area of Greater Manchester, England.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0a6a548190a54212912f618e4e |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22087d008190a9db6080b8c10f5d |
completed | April 14, 2026, 11:16 a.m. |
Created at: April 6, 2026, 12:17 p.m.