Triple
T10220565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Termunten |
E242564
|
entity |
| Predicate | hasWaterBody |
P165
|
FINISHED |
| Object | Dollard |
E242573
|
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: Dollard | Statement: [Termunten, hasWaterBody, Dollard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dollard Context triple: [Termunten, hasWaterBody, Dollard]
-
A.
Dollard
chosen
Dollard is a coastal bay and estuary on the border between the Netherlands and Germany, known for its tidal flats and role as part of the Wadden Sea ecosystem.
-
B.
Dubreuilville
Dubreuilville is a small, remote township in northern Ontario, Canada, known historically for its forestry and mining activities.
-
C.
Belfountain
Belfountain is a small historic hamlet in the town of Caledon, Ontario, known for its scenic conservation area, waterfalls, and rural charm in the Niagara Escarpment region.
-
D.
Dorodoche
Dorodoche is a minor figure in Greek mythology known primarily as the wife of Icarius.
-
E.
Langelier
Langelier is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line of the city’s rapid transit system.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa72b258819097d8d50a714e19dc |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a82c98fc8190929b7b56f9a6e60d |
completed | April 8, 2026, 7:10 p.m. |
Created at: April 6, 2026, 11:09 a.m.