Triple
T13082338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Newport |
E310237
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | city of Newport |
E519790
|
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: city of Newport | Statement: [Port of Newport, locatedNear, city of Newport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Newport Context triple: [Port of Newport, locatedNear, city of Newport]
-
A.
City of Newport
The City of Newport is a major urban center and historic port in South East Wales, known for its industrial heritage and landmark Transporter Bridge.
-
B.
Newport City
Newport City is a large mixed-use urban township in Metro Manila, Philippines, known for its integrated residential, commercial, and entertainment developments near Ninoy Aquino International Airport.
-
C.
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.
-
D.
NEWPORT
chosen
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.
-
E.
Newport
Newport is a coastal city in Oregon known for its fishing industry, marine science centers, and scenic Pacific shoreline.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9811add9881908a92186dab5b6d48 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60e7b48819087e4583a5736c1df |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9:01 p.m.