Triple
T18321278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newport, Shropshire |
E438884
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | NEWPORT |
—
|
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: NEWPORT | Statement: [Newport, Shropshire, postTown, NEWPORT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NEWPORT Context triple: [Newport, Shropshire, postTown, NEWPORT]
-
A.
NEWPORT
NEWPORT is a city in South Wales, United Kingdom, known as a major urban and commercial center on the River Usk near the Severn Estuary.
-
B.
NEWPORT
NEWPORT is the principal town and administrative center of the Isle of Wight in England, known for its historic architecture and central location on the island.
-
C.
Newport
Newport is a leading menthol cigarette brand in the United States, known for its strong market presence and association with menthol-flavored tobacco products.
-
D.
Newport
Newport is the former name of Parkersburg, a city located along the Ohio River in western West Virginia.
-
E.
Newport
chosen
Newport is a market town in Shropshire, England, known for its historic high street and traditional rural character.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa5a3508190a3025e71c11d79e2 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.