Triple
T13638805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmdon Airport |
E325919
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Midlands |
E20314
|
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: Midlands | Statement: [Elmdon Airport, regionServed, Midlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midlands Context triple: [Elmdon Airport, regionServed, Midlands]
-
A.
Midlands
chosen
The Midlands is a central region of England known for its mix of major industrial cities, historic towns, and rural landscapes, lying between the north and south of the country.
-
B.
Midlands
Midlands is a central province of Zimbabwe known for its mining activities and diverse mix of ethnic groups.
-
C.
Midlands–North-West
Midlands–North-West is a large European Parliament constituency in Ireland that covers much of the country’s western and northern regions, including towns such as Ballina in County Mayo.
-
D.
End Midlands
End Midlands is a mid-level outer island biome in Minecraft’s End dimension, characterized by its relatively flat terrain and frequent generation of end cities.
-
E.
Midlands, England
Midlands, England is a central region of England known for its mix of industrial cities and rural landscapes, historically significant in the country’s manufacturing and literary heritage.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a84cc4819098a975e33250c89b |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af46fe481909c6f9a6f58f887d1 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.