Triple
T17673151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldbury |
E440576
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Langley |
—
|
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: Langley | Statement: [Oldbury, hasNeighbourhood, Langley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langley Context triple: [Oldbury, hasNeighbourhood, Langley]
-
A.
Langley
Langley is the historical name for the English village now known as Kings Langley in Hertfordshire.
-
B.
Langley
chosen
Langley is a suburban area in Berkshire, England, situated near Slough and known for its residential neighborhoods and transport links into London.
-
C.
Langley
Langley is a small coastal city on Whidbey Island in Washington State, known for its scenic waterfront, arts community, and tourism.
-
D.
Langley
Langley is a surname of English origin borne by various notable individuals across fields such as literature, science, and politics.
-
E.
Langley
Langley is a small town in northeastern Oklahoma, United States, known for its proximity to Grand Lake O’ the Cherokees and recreational outdoor activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6aa64081908c9a82128a5a9024 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.