Triple
T3452349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Askival |
E72820
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Rùm |
E72820
|
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: Rùm | Statement: [Askival, locatedOn, Rùm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rùm Context triple: [Askival, locatedOn, Rùm]
-
A.
Rùm
chosen
Rùm is a small, rugged island in Scotland’s Inner Hebrides, known for its dramatic mountainous landscape, wildlife, and status as a National Nature Reserve.
-
B.
Ratoma
Ratoma is a major urban district of Conakry, the capital city of Guinea.
-
C.
Lomu
Lomu is a surname most famously associated with Jonah Lomu, the legendary New Zealand rugby union winger.
-
D.
Rhoose
Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
-
E.
Tanah Merah
Tanah Merah is a town in the Malaysian state of Kelantan, known as a regional commercial and administrative center.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa2f5ec81909ced93c01e8fe38b |
completed | March 8, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360ef69308190a11f37ddbf3bbc7b |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.