Triple
T13515604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barcroft Station |
E322750
|
entity |
| Predicate | distanceToWhiteMountainPeak |
P110073
|
FINISHED |
| Object | approximately 4 kilometers |
—
|
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: approximately 4 kilometers | Statement: [Barcroft Station, distanceToWhiteMountainPeak, approximately 4 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWhiteMountainPeak Context triple: [Barcroft Station, distanceToWhiteMountainPeak, approximately 4 kilometers]
-
A.
distanceToWitney
Indicates the spatial distance between an entity and the location Witney.
-
B.
distanceToSummit
Indicates the measured or estimated distance remaining from a given point to the summit of a feature or elevation.
-
C.
distanceToDenali
Indicates the measured or estimated spatial distance between a given entity and Denali.
-
D.
distanceToGreatSmokyMountainsNationalPark
Indicates the spatial distance between an entity and Great Smoky Mountains National Park.
-
E.
distanceToAlps
Indicates the spatial distance between a given location or entity and the Alps.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaee128d88190b097be17fdd2f92b |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:44 p.m.