Triple
T27432808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enfield Southgate |
E690691
|
entity |
| Predicate | hasNeighbouringConstituency |
P47257
|
FINISHED |
| Object | Enfield North |
—
|
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: Enfield North | Statement: [Enfield Southgate, hasNeighbouringConstituency, Enfield North]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeighbouringConstituency Context triple: [Enfield Southgate, hasNeighbouringConstituency, Enfield North]
-
A.
hasNeighbouringRiding
Indicates that one riding is geographically adjacent to and shares a boundary with another riding.
-
B.
borderingConstituency
chosen
Indicates that one political constituency shares a common boundary with another constituency.
-
C.
isBorderConstituency
Indicates that a constituency lies along or adjacent to a national or regional border.
-
D.
hasNeighbouringDivision
Indicates that one division is directly adjacent to and shares a boundary with another division.
-
E.
hasNeighbouringWard
Indicates that one ward is directly adjacent to or borders another ward geographically.
- F. None of above.
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_69ef52003fb48190b0f1295246182a86 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: April 27, 2026, 12:42 p.m.