Triple
T36442670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karatu |
E897780
|
entity |
| Predicate | distanceToNgorongoroGateApproxKm |
P204873
|
FINISHED |
| Object | about 15–20 kilometres |
—
|
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 15–20 kilometres | Statement: [Karatu, distanceToNgorongoroGateApproxKm, about 15–20 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNgorongoroGateApproxKm Context triple: [Karatu, distanceToNgorongoroGateApproxKm, about 15–20 kilometres]
-
A.
distanceFromKrugerNationalParkMainGate
Indicates the measured distance between a given location and the main gate of Kruger National Park.
-
B.
distanceToAmboseliNationalPark
Indicates the measured or estimated spatial distance between a given entity and Amboseli National Park.
-
C.
distanceToKrugerNationalPark
Indicates the measured distance between a given location and Kruger National Park.
-
D.
distanceToEtoshaVonLindequistGate_km
Indicates the distance, measured in kilometers, from a given location to the Etosha Von Lindequist Gate.
-
E.
distanceToEtoshaNationalPark
Indicates the measured spatial distance between a given entity and Etosha National Park.
- 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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:10 p.m.