Triple
T10951949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Royal |
E258745
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Kingston |
E207830
|
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: Kingston | Statement: [Port Royal, near, Kingston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingston Context triple: [Port Royal, near, Kingston]
-
A.
Kingston
Kingston is a historic Canadian city in eastern Ontario, located where the St. Lawrence River meets Lake Ontario, known for its limestone architecture and role as a former capital of the Province of Canada.
-
B.
Kingston
Kingston is a common English surname of Anglo-Saxon origin, historically associated with various towns named Kingston in England.
-
C.
Kingston
Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
-
D.
Kingston
chosen
Kingston is the small historic administrative center and main settlement of Norfolk Island, an external territory of Australia in the Pacific Ocean.
-
E.
Kingston
Kingston is a borough in northeastern Pennsylvania, United States, situated along the Susquehanna River near the city of Wilkes-Barre.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fcfb3c8190b7823869670184a6 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c57038c819087671177c2ed5633 |
completed | April 17, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:23 p.m.