Triple
T4404918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monowice |
E93706
|
entity |
| Predicate | distanceToOświęcim |
P56064
|
FINISHED |
| Object | approximately 4 km east |
—
|
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 4 km east | Statement: [Monowice, distanceToOświęcim, approximately 4 km east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToOświęcim Context triple: [Monowice, distanceToOświęcim, approximately 4 km east]
-
A.
concentrationCampDestination
Indicates that an entity is sent or transported to a concentration camp as its destination.
-
B.
distanceToWarsaw
Indicates the spatial distance between a given entity’s location and the city of Warsaw.
-
C.
LiberationOfAuschwitz
Indicates the act or event of freeing prisoners and ending Nazi control at the Auschwitz concentration camp.
-
D.
distanceToKatowice
Indicates the spatial distance between a given entity and the city of Katowice.
-
E.
distanceToKraków_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Kraków.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b35488d5b8819087370dd77249aefb |
completed | March 13, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3509997208190933f167f7e20ccfa |
completed | March 12, 2026, 11:47 p.m. |
Created at: March 12, 2026, 11:28 p.m.