Triple
T22083191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llangattock-Vibon-Avel |
E545703
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Monmouth |
—
|
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: Monmouth | Statement: [Llangattock-Vibon-Avel, locatedNear, Monmouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monmouth Context triple: [Llangattock-Vibon-Avel, locatedNear, 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.
Monmouth
Monmouth is a private university in West Long Branch, New Jersey, best known athletically for its mid-major NCAA Division I sports programs, particularly in basketball.
-
D.
Mendham
Mendham is a village and civil parish located in the county of Suffolk in eastern England.
-
E.
Sussex County
Sussex County is a largely rural, mountainous county in the far northwestern corner of New Jersey, known for its forests, lakes, and outdoor recreation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b803f081909a0a121aecf526ae |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:28 p.m.