Triple
T21979454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit–Warren–Dearborn Metropolitan Statistical Area |
E542797
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Westland |
—
|
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: Westland | Statement: [Detroit–Warren–Dearborn Metropolitan Statistical Area, containsCity, Westland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westland Context triple: [Detroit–Warren–Dearborn Metropolitan Statistical Area, containsCity, Westland]
-
A.
Westland
Westland is a municipality in the Dutch province of South Holland known for its extensive greenhouse horticulture and flower production.
-
B.
Westland
chosen
Westland is a suburban city in southeastern Michigan, United States, known as part of the Detroit metropolitan area.
-
C.
Westland
Westland is a fictional region within the Four Lands setting, often depicted as a distinct realm with its own landscapes, peoples, and cultures.
-
D.
Haseldine
Haseldine is the middle name of William Haseldine Pepys, an English scientist and instrument maker active in the late 18th and early 19th centuries.
-
E.
Kersey
Kersey is a historic village in Suffolk, England, noted for its picturesque medieval buildings and traditional rural character.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248bdd88819098bfeca550608f14 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.