Triple
T9280193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niagara |
E223046
|
entity |
| Predicate | settingLocation |
P40
|
FINISHED |
| Object | Niagara Falls |
E10589
|
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: Niagara Falls | Statement: [Niagara, settingLocation, Niagara Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niagara Falls Context triple: [Niagara, settingLocation, Niagara Falls]
-
A.
Niagara Falls
chosen
Niagara Falls is a famous group of massive waterfalls on the border between the United States and Canada, renowned for their impressive volume and natural beauty.
-
B.
Horseshoe Falls
Horseshoe Falls is a distinct curved segment of Victoria Falls known for its dramatic, horseshoe-shaped curtain of water.
-
C.
Horseshoe Falls
Horseshoe Falls is the largest and most famous of the three waterfalls that collectively form Niagara Falls, straddling the border between Canada and the United States.
-
D.
Horseshoe Falls
Horseshoe Falls is a scenic, horseshoe-shaped waterfall and popular natural attraction near the town of Sabie in Mpumalanga, South Africa.
-
E.
The Falls
The Falls is a novel by Joyce Carol Oates that explores the aftermath of a tragic event at Niagara Falls and its impact on a family over several decades.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07cd9a1c8190af0521baa428ce10 |
completed | April 1, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c52e2608190bb92d65785f51205 |
completed | April 4, 2026, 5:06 a.m. |
Created at: March 30, 2026, 7:34 p.m.