Triple
T33277492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipno, Poland |
E851943
|
entity |
| Predicate | distanceToWłocławek |
P206406
|
FINISHED |
| Object | approximately 25 km northeast |
—
|
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 25 km northeast | Statement: [Lipno, Poland, distanceToWłocławek, approximately 25 km northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWłocławek Context triple: [Lipno, Poland, distanceToWłocławek, approximately 25 km northeast]
-
A.
distanceToWrocławApproxKm
Indicates an approximate distance, measured in kilometers, between an entity and the city of Wrocław.
-
B.
distanceToŁódź
Indicates the spatial distance between a given entity and the city of Łódź.
-
C.
distanceToBydgoszcz
Indicates the spatial distance between a given place or object and the city of Bydgoszcz.
-
D.
distanceToKielce
Indicates the spatial distance between a given entity and the city of Kielce.
-
E.
distanceToKatowice
Indicates the spatial distance between a given entity and the city of Katowice.
- 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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:32 a.m.