Triple
T9971660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tryon Palace |
E196219
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Trent River |
E289644
|
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: Trent River | Statement: [Tryon Palace, locatedOn, Trent River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trent River Context triple: [Tryon Palace, locatedOn, Trent River]
-
A.
Trent River
chosen
The Trent River is a waterway in eastern North Carolina that flows through New Bern before joining the Neuse River.
-
B.
Trent River
The Trent River is a river in Ontario, Canada, that forms part of the Trent–Severn Waterway and drains into Lake Ontario.
-
C.
Train River
The Train River is a smaller watercourse in Belgium that serves as a tributary within the Dyle River basin.
-
D.
Plenty River
The Plenty River is a waterway in Victoria, Australia, that flows through Melbourne’s northeastern suburbs before joining the Yarra River.
-
E.
Tüp River
The Tüp River is a mountain river in northeastern Kyrgyzstan that flows into Lake Issyk-Kul, contributing to the lake’s freshwater inflow.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b96b1c8190b9d3c1171346615a |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbac7a42348190a86fa5a97e3d36ca |
completed | April 12, 2026, 2:30 p.m. |
Created at: March 30, 2026, 8:48 p.m.