Triple
T8661381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Mainland |
E205555
|
entity |
| Predicate | contains |
P35
|
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: [Lower Mainland, contains, Langley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langley Context triple: [Lower Mainland, contains, Langley]
-
A.
Langley
Langley is a small coastal city on Whidbey Island in Washington State, known for its scenic waterfront, arts community, and tourism.
-
B.
Langley
Langley is a surname of English origin borne by various notable individuals across fields such as literature, science, and politics.
-
C.
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.
-
D.
Langley, Washington
Langley, Washington is a small, scenic waterfront town on Whidbey Island known for its arts community, coastal views, and charming downtown.
-
E.
Lytton, British Columbia
Lytton, British Columbia is a small village in the interior of the province known for its location at the confluence of the Fraser and Thompson Rivers and for often recording some of the highest temperatures in Canada.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc487147248190b5f1bff836a11e68 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccfda1dc8190a3b93b1c7e813f33 |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:30 p.m.