Triple
T4164382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Offa's Dyke Path (sections) |
E84406
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Monmouth |
E28326
|
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: Monmouth | Statement: [Offa's Dyke Path (sections), passesThrough, Monmouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monmouth Context triple: [Offa's Dyke Path (sections), passesThrough, Monmouth]
-
A.
Monmouth
chosen
Monmouth is a historic market town in Monmouthshire, Wales, known for its medieval architecture and position near the English border.
-
B.
Monmouth
Monmouth is a small city in Polk County, Oregon, best known as the home of Western Oregon University.
-
C.
Mendham
Mendham is a village and civil parish located in the county of Suffolk in eastern England.
-
D.
Sussex County
Sussex County is a county in the southern part of the U.S. state of Delaware, known for its coastal resorts, agriculture, and historic towns.
-
E.
Essex County
Essex County is a southwestern Ontario region bordering Lake Erie that includes the southernmost point of mainland Canada and encompasses Point Pelee National Park.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02ab00d48190acf3b041fca56be3 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589ec8a60819099647577b7ab9be1 |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:44 p.m.