Triple
T3012161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cranford |
E82247
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Harlington |
E97742
|
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: Harlington | Statement: [Cranford, near, Harlington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harlington Context triple: [Cranford, near, Harlington]
-
A.
Harlington
chosen
Harlington is a village in the London Borough of Hillingdon, England, known for its proximity to Heathrow Airport and its mix of residential areas and local amenities.
-
B.
Bedford
Bedford is a suburban community within the Halifax Regional Municipality in Nova Scotia, Canada, known for its residential areas and waterfront along the Bedford Basin.
-
C.
Bedford
Bedford is a small suburban city located in northeastern Ohio within the Greater Cleveland metropolitan area.
-
D.
Bedford
Bedford is a historic market town and the county town of Bedfordshire in eastern England, situated on the River Great Ouse.
-
E.
Salisbury
Salisbury is the former colonial-era name of Zimbabwe’s capital city, now known as Harare.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a66c334819082d1d320c48eca1b |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6410e481909753bef34e053363 |
completed | March 11, 2026, 8:57 a.m. |
Created at: March 8, 2026, 3 p.m.