Triple
T7619764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Rim |
E172457
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pima Point |
E680862
|
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: Pima Point | Statement: [South Rim, contains, Pima Point]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pima Point Context triple: [South Rim, contains, Pima Point]
-
A.
Pima Point
chosen
Pima Point is a scenic overlook on the South Rim of the Grand Canyon known for its expansive views of the canyon and the Colorado River.
-
B.
Taft Point
Taft Point is a dramatic cliff-edge overlook in Yosemite National Park known for its sheer drop-offs and expansive views of Yosemite Valley and El Capitan.
-
C.
Coconut Point
Coconut Point is a large open-air shopping, dining, and entertainment center located in Estero, Florida.
-
D.
Cathedral Point
Cathedral Point is a prominent high-elevation summit within Canyonlands National Park in southeastern Utah, offering expansive views over the park’s rugged canyon and mesa landscape.
-
E.
Siffrey Point
Siffrey Point is a coastal headland located near Cape Dubouzet in the Antarctic Peninsula region.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa6148a88190be5150313fe23e7b |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac8d59048190948eebf6f5979cf9 |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 3:55 p.m.