Triple
T5757567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augsburg |
E127006
|
entity |
| Predicate | twinCity |
P1072
|
FINISHED |
| Object | Inverness |
E50911
|
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: Inverness | Statement: [Augsburg, twinCity, Inverness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inverness Context triple: [Augsburg, twinCity, Inverness]
-
A.
Inverness
chosen
Inverness is a city in the Scottish Highlands that serves as a major cultural and administrative center for the region.
-
B.
Inverness
Inverness is a small coastal community in Marin County, California, known for its scenic setting along Tomales Bay near Point Reyes National Seashore.
-
C.
Nairn
Nairn is a coastal town in the Highland council area of Scotland, known as a seaside resort on the Moray Firth.
-
D.
Inveraray
Inveraray is a historic town on the shores of Loch Fyne in western Scotland, noted for Inveraray Castle and its role as the traditional seat of the Dukes of Argyll.
-
E.
Greenock
Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029084e108190988f1b5f38254007 |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0980357e0819090ae7fe52e5c375d |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:49 p.m.