Triple
T11284918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A859 road |
E267160
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Arivruach |
E557061
|
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: Arivruach | Statement: [A859 road, connects, Arivruach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arivruach Context triple: [A859 road, connects, Arivruach]
-
A.
Arivruach
chosen
Arivruach is a small rural settlement in the Outer Hebrides of Scotland, situated on the shores of Loch Seaforth on the Isle of Lewis.
-
B.
Airok
Airok is a small settlement located on Ailinglaplap Atoll in the Marshall Islands.
-
C.
Aeolia
Aeolia is the mythological floating island ruled by Aeolus, the keeper of the winds, in ancient Greek mythology.
-
D.
Zephyr
Zephyr is an open-source, small-footprint real-time operating system designed for resource-constrained embedded and IoT devices.
-
E.
Nebel
Nebel is a small river in Bavaria, Germany, known for its strategic role as part of the battlefield terrain during the 1704 Battle of Blenheim in the War of the Spanish Succession.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9855e8881909bd301718cbd8ca1 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f48070ac8190b0e4d49f42ac3896 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 8, 2026, 9:31 p.m.