Triple
T34606214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nova Gradiška |
E888600
|
entity |
| Predicate | distanceToSlavonskiBrod |
P205481
|
FINISHED |
| Object | approximately 50 km west |
—
|
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 50 km west | Statement: [Nova Gradiška, distanceToSlavonskiBrod, approximately 50 km west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSlavonskiBrod Context triple: [Nova Gradiška, distanceToSlavonskiBrod, approximately 50 km west]
-
A.
distanceToRijeka
Indicates the spatial distance between a given entity or location and the city of Rijeka.
-
B.
distanceToZadar
Indicates the spatial distance between a given entity’s location and the city of Zadar.
-
C.
distanceToZagreb
Indicates the spatial distance between a given entity’s location and the city of Zagreb.
-
D.
distanceFromVanadzor
Indicates the measured distance between a given place or object and the location of Vanadzor.
-
E.
distanceToSarajevo
Indicates the spatial distance between a given entity or location and the city of Sarajevo.
- 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:03 a.m.