Triple
T26815283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schefferville |
E672107
|
entity |
| Predicate | minesOperatedBy |
P161961
|
FINISHED |
| Object | Tata Steel Minerals Canada |
—
|
NE NERFINISHED |
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: Tata Steel Minerals Canada | Statement: [Schefferville, minesOperatedBy, Tata Steel Minerals Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minesOperatedBy Context triple: [Schefferville, minesOperatedBy, Tata Steel Minerals Canada]
-
A.
miningCompany
Indicates a relationship where an entity operates as a company engaged in the extraction of natural resources from the earth.
-
B.
mineName
Indicates that an entity has or is associated with a specific mine identified by a given name.
-
C.
hasCoalMiningCompany
Indicates that an entity is associated with or owns a company whose primary business is coal mining.
-
D.
miningSite
Indicates a location where mining activities or mineral extraction operations take place.
-
E.
mines
Indicates that an agent extracts or removes natural resources or minerals from the ground.
- F. None of above. chosen
Provenance (4 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f62081136c81909de8090b1d6c1ac5 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fd5442081908ca677a9c81dcb3f |
completed | May 2, 2026, 4:01 p.m. |
Created at: April 27, 2026, 4:31 a.m.