Triple
T1813603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fraser River |
E40384
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Langley |
E211415
|
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: Langley | Statement: [Fraser River, flowsThrough, Langley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langley Context triple: [Fraser River, flowsThrough, Langley]
-
A.
Langley City
chosen
Langley City is an urban municipality in British Columbia, Canada, located in the Fraser Valley as part of the Metro Vancouver region.
-
B.
Maple Ridge
Maple Ridge is a suburban city in British Columbia, Canada, located on the northeastern edge of the Metro Vancouver region.
-
C.
Richmond, British Columbia
Richmond, British Columbia is a coastal city in Metro Vancouver known for its diverse population, extensive Asian cultural influence, and role as home to Vancouver International Airport.
-
D.
Langley, Virginia
Langley, Virginia is an unincorporated community in Fairfax County best known as the site of the Central Intelligence Agency’s main headquarters.
-
E.
Courtenay
Courtenay is a small city in the Comox Valley region of British Columbia, Canada, known for its outdoor recreation and proximity to mountains and ocean.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c905ec8190bea7cd72d218487a |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3c192f08190a1a134e541be1103 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:32 p.m.