Triple
T5791917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niagara Falls region |
E128414
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Thorold |
E185882
|
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: Thorold | Statement: [Niagara Falls region, contains, Thorold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorold Context triple: [Niagara Falls region, contains, Thorold]
-
A.
Thorold
chosen
Thorold is a small city in Ontario, Canada, located in the Niagara Region and known for its historic Welland Canal infrastructure.
-
B.
Godric
Godric is a 1980 historical novel by Frederick Buechner that fictionalizes the life and spiritual journey of the medieval English saint Godric of Finchale.
-
C.
Kenith Trodd
Kenith Trodd is a British television producer best known for his collaborations with writer Dennis Potter on acclaimed dramas such as "The Singing Detective."
-
D.
Ogdred Weary
Ogdred Weary is a literary pseudonym of American writer and illustrator Edward Gorey, under which he produced some of his characteristically macabre and whimsical works.
-
E.
Baldwyn
Baldwyn is a masculine given name and surname of Old Germanic origin, historically associated with nobility and leadership.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5870b88190bbfaac2782635128 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09824c7f0819095565e0f29b3a508 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.