Triple
T1427513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Glen |
E30366
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Fort William |
E39090
|
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: Fort William | Statement: [Great Glen, hasTown, Fort William]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort William Context triple: [Great Glen, hasTown, Fort William]
-
A.
Fort William
chosen
Fort William is a major town in the western Scottish Highlands, known as a gateway to Ben Nevis and a popular center for outdoor activities and tourism.
-
B.
Fort William
Fort William is a historic urban area in Thunder Bay, Ontario, known for its origins as a fur trade and transportation hub on Lake Superior.
-
C.
Fort Frances
Fort Frances is a small Canadian town in northwestern Ontario located on the Rainy River along the U.S. border opposite International Falls, Minnesota.
-
D.
Labrador City
Labrador City is a mining-based town in western Labrador, Newfoundland and Labrador, Canada, known for its large iron ore operations and remote northern setting.
-
E.
Thunder Bay
Thunder Bay is a Canadian city in northwestern Ontario that serves as a key transportation, shipping, and commercial hub on the north shore of Lake Superior.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4bfc79481908d370ec839ddbd9f |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08b35da08190b8c09ad393f310e3 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 8 p.m.