Triple
T7881509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Entrance near Grand Teton |
E182988
|
entity |
| Predicate | positionRelativeToYellowstone |
P79544
|
FINISHED |
| Object | southern boundary |
—
|
LITERAL 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: southern boundary | Statement: [South Entrance near Grand Teton, positionRelativeToYellowstone, southern boundary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToYellowstone Context triple: [South Entrance near Grand Teton, positionRelativeToYellowstone, southern boundary]
-
A.
distanceToYellowstoneEastEntrance
Indicates the measured distance from a given location or entity to the east entrance of Yellowstone National Park.
-
B.
positionRelativeToNiagaraFalls
Indicates the spatial relationship of an entity’s location with respect to Niagara Falls, such as its direction, distance, or relative placement.
-
C.
positionRelativeToSummit
Indicates the spatial relationship of an entity’s location with respect to the summit of a feature or structure.
-
D.
distanceToOldFaithfulGeyser
Indicates the spatial distance between a given entity and the Old Faithful Geyser.
-
E.
distanceFromDenver
Indicates the measured distance between a given location and Denver.
- F. None of above. chosen
Provenance (4 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39c14a188190a225ca3c7e515b0c |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:58 p.m.