Triple
T3438102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rum Cuillin |
E72502
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Askival |
E72500
|
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: Askival | Statement: [Rum Cuillin, highestPoint, Askival]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Askival Context triple: [Rum Cuillin, highestPoint, Askival]
-
A.
Askival
chosen
Askival is the prominent mountain peak that dominates the rugged landscape of the Isle of Rum in Scotland’s Inner Hebrides.
-
B.
Askunu
Askunu is an Indo-Iranian language of the Nuristani group spoken by the Ashkun people in parts of eastern Afghanistan.
-
C.
Askainen
Askainen is a village and former municipality in southwestern Finland known for its historic Loukko Manor and coastal rural landscape.
-
D.
Askim
Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
-
E.
Arvo
Arvo is a given name most notably borne by Finnish pediatrician and child welfare pioneer Arvo Ylppö.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f575cc8190866929b1e8930143 |
completed | March 8, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35483d0488190b6a4bd2ed65f78d3 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:16 p.m.