Triple
T35366716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avala |
E1021649
|
entity |
| Predicate | distanceFromBelgradeCenter |
P63607
|
FINISHED |
| Object | approximately 16 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 16 kilometers | Statement: [Avala, distanceFromBelgradeCenter, approximately 16 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBelgradeCenter Context triple: [Avala, distanceFromBelgradeCenter, approximately 16 kilometers]
-
A.
distanceToBelgrade
chosen
Indicates the spatial distance between a given entity and the city of Belgrade.
-
B.
удаљеностОдБудимпеште
Indicates that one entity is at a certain distance from Budapest.
-
C.
distanceToNoviSad
Indicates the spatial distance between a given entity and the location of Novi Sad.
-
D.
distanceToSarajevo
Indicates the spatial distance between a given entity or location and the city of Sarajevo.
-
E.
distanceFromNiš
Indicates the spatial distance between a given place or object and the city of Niš.
- 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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.