Triple
T17163301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilmuir |
E416536
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Rubha Hunish |
E568258
|
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: Rubha Hunish | Statement: [Kilmuir, hasNearbyAttraction, Rubha Hunish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubha Hunish Context triple: [Kilmuir, hasNearbyAttraction, Rubha Hunish]
-
A.
Rubha Hunish
chosen
Rubha Hunish is the northernmost point of the Isle of Skye in Scotland, known for its dramatic cliffs, coastal scenery, and wildlife viewing.
-
B.
Aranuir
Aranuir is a lesser-known Dúnedain chieftain of the royal line of Isildur in J.R.R. Tolkien’s legendarium.
-
C.
Innisfail
Innisfail is a coastal town in Far North Queensland, Australia, known for its sugar cane industry and frequent tropical rainfall.
-
D.
Begbick
Begbick is a central, authoritarian madam and profiteer in Bertolt Brecht and Kurt Weill’s opera "Rise and Fall of the City of Mahagonny," embodying the work’s themes of greed and moral corruption.
-
E.
Suilven
Suilven is a distinctive, steep-sided sandstone mountain in the Assynt region of northwest Scotland, renowned for its dramatic profile and panoramic views.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91316108190b0d856d6fa5cd509 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483969a48190a90268c9560b8cd7 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.