Triple
T16259954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sipiso-piso Waterfall |
E394726
|
entity |
| Predicate | approximateDistanceFromCity |
P38511
|
FINISHED |
| Object | about 2–3 hours by road from Medan |
—
|
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: about 2–3 hours by road from Medan | Statement: [Sipiso-piso Waterfall, approximateDistanceFromCity, about 2–3 hours by road from Medan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDistanceFromCity Context triple: [Sipiso-piso Waterfall, approximateDistanceFromCity, about 2–3 hours by road from Medan]
-
A.
approximateDistanceFrom
Indicates an estimated or rough measure of how far one entity is from another.
-
B.
distanceFromMajorCity
Indicates the measured distance between a given location and a specified major city.
-
C.
approximateDistanceKm
Indicates the estimated distance between two entities measured in kilometers, typically with some degree of inaccuracy or approximation.
-
D.
hasApproximateDrivingDistanceFrom
chosen
Indicates that one entity is located at an estimated or approximate driving distance from another entity, typically measured along road routes rather than as a precise or exact value.
-
E.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
- F. None of above.
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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c3082c8190a1c9f92b255fdbb6 |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.