Triple
T4869607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell Dale |
E109052
|
entity |
| Predicate | residesIn |
P75
|
FINISHED |
| Object | Allington |
E109054
|
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: Allington | Statement: [Bell Dale, residesIn, Allington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allington Context triple: [Bell Dale, residesIn, Allington]
-
A.
Allington
chosen
Allington is an English village best known in literature as the rural setting of Anthony Trollope’s novel "The Small House at Allington."
-
B.
Allerton
Allerton is an English surname historically associated with early colonial figures such as Mayflower passenger Isaac Allerton.
-
C.
Allerton
Allerton is a residential neighborhood in the northeast Bronx, New York City, characterized by its diverse community and mix of apartment buildings and one- to two-family homes.
-
D.
Nonington
Nonington is a small rural village and civil parish in Kent, England, known for its historic church and countryside setting.
-
E.
Oakington
Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d9aec60819090f485757038c2a8 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fb25f008190ab9b7cc904b540c9 |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:27 p.m.