Triple
T4988231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labrador Peninsula |
E112058
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | La Grande River |
E142579
|
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: La Grande River | Statement: [Labrador Peninsula, contains, La Grande River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Grande River Context triple: [Labrador Peninsula, contains, La Grande River]
-
A.
La Grande River
chosen
La Grande River is a major river in northwestern Quebec, Canada, known for its large hydroelectric developments and its drainage into James Bay, an arm of Hudson Bay.
-
B.
Grande River
The Grande River is a watercourse in Chile’s Limarí Province that contributes to the region’s agricultural irrigation and local watershed.
-
C.
La Rive
La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
-
D.
La Rivière
La Rivière is a sector of the town of Gold, recognized as one of its notable local areas.
-
E.
Black River
Black River is a common river name used in various regions worldwide, typically referring to waterways characterized by dark-colored water due to organic matter or sediment.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727eae1c819085e5548faadbd162 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0e1132881908fd6a540551e6318 |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:34 p.m.