Triple
T30758262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebreichsdorf |
E783151
|
entity |
| Predicate | directionFromVienna |
P191694
|
FINISHED |
| Object | south |
—
|
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: south | Statement: [Ebreichsdorf, directionFromVienna, south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromVienna Context triple: [Ebreichsdorf, directionFromVienna, south]
-
A.
distanceFromVienna
Indicates the spatial distance between a given entity’s location and the city of Vienna.
-
B.
isInDirectionFromBudapest
Indicates that one entity is located in a specified compass or geographic direction when measured outward starting from Budapest.
-
C.
directionFromPrague
Indicates the cardinal or relative compass direction in which one entity is located from Prague.
-
D.
directionFromBerlin
Indicates the cardinal or relative compass direction in which one entity is located when viewed from Berlin.
-
E.
directionFromBern
Indicates the cardinal or relative direction in which one entity is located when measured outward starting from Bern.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: April 29, 2026, 8:39 p.m.