Triple
T6072026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timiskaming District |
E135304
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Cobalt |
E541727
|
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: Cobalt | Statement: [Timiskaming District, hasSettlement, Cobalt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobalt Context triple: [Timiskaming District, hasSettlement, Cobalt]
-
A.
Cobalt
chosen
Cobalt is a small historic mining town in northeastern Ontario, Canada, known for its early 20th-century silver boom and significant role in Canadian mining history.
-
B.
Nickel
Nickel is a chemical element and transition metal known for its hardness, corrosion resistance, and widespread use in alloys and batteries.
-
C.
Copper
Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
-
D.
Copper
Copper is a period crime drama television series set in 19th-century New York City, created by Tom Fontana and others.
-
E.
Zirc
Zirc is a small Hungarian town in Veszprém County known for its historic Cistercian Abbey and scenic location in the Bakony Mountains.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05758a21c81909cc10ef5f725a489 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d3a37fc81909bbc1cdeec3205cf |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:11 p.m.