Triple
T7882013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Offa's Dyke |
E183000
|
entity |
| Predicate | partiallyCoincidesWith |
P1867
|
FINISHED |
| Object | modern England–Wales border |
—
|
LITERAL 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: modern England–Wales border | Statement: [Offa's Dyke, partiallyCoincidesWith, modern England–Wales border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partiallyCoincidesWith Context triple: [Offa's Dyke, partiallyCoincidesWith, modern England–Wales border]
-
A.
overlapsWith
chosen
Indicates that two entities share a common part or region in space, time, or extent, but neither is completely contained within the other.
-
B.
coincidesWith
Indicates that two entities occupy the same position, time, or state such that they exactly overlap or occur together.
-
C.
partiallyCorrespondsTo
Indicates that one entity matches or aligns with another entity only in some aspects, segments, or components, rather than fully or exactly.
-
D.
isPartially
Indicates that one entity is included within another to some extent, but not completely or fully.
-
E.
partlyLocatedInTimeZone
Indicates that an entity’s extent overlaps multiple time zones, with at least part of it falling within the specified time zone.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39c14a188190a225ca3c7e515b0c |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:58 p.m.