Triple
T37350280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labrador Trough |
E927300
|
entity |
| Predicate | stratigraphyIncludes |
P38880
|
FINISHED |
| Object |
Knob Lake Group
The Knob Lake Group is a major Precambrian sedimentary rock sequence in the Labrador Trough, notable for its iron-rich formations and importance to the region’s mining geology.
|
E2223341
|
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: Knob Lake Group | Statement: [Labrador Trough, stratigraphyIncludes, Knob Lake Group]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Knob Lake Group Triple: [Labrador Trough, stratigraphyIncludes, Knob Lake Group]
Generated description
The Knob Lake Group is a major Precambrian sedimentary rock sequence in the Labrador Trough, notable for its iron-rich formations and importance to the region’s mining geology.
Provenance (5 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb5bc062e8819098f3b5486eb754d1 |
completed | May 6, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a406cdeec0481908449b31e56c88df8 |
completed | June 28, 2026, 12:37 a.m. |
| NEDg | Description generation | batch_6a406da07e6c81909bcf8a7cce086fcf |
completed | June 28, 2026, 12:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a406e2e5e00819097b90719f08951c8 |
completed | June 28, 2026, 12:43 a.m. |
Created at: May 3, 2026, 4:16 p.m.