Triple
T14835289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josefstadt |
E348814
|
entity |
| Predicate | bordersWith |
P224
|
FINISHED |
| Object | Hernals |
E953107
|
NE 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: Hernals | Statement: [Josefstadt, bordersWith, Hernals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hernals Context triple: [Josefstadt, bordersWith, Hernals]
-
A.
Hernals
chosen
Hernals is the 17th district of Vienna, Austria, known for its mix of urban neighborhoods, green hillsides, and historic suburban character.
-
B.
Hertevin
Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
-
C.
Hamren
Hamren is a town in the Indian state of Assam that serves as the main administrative and service center for the surrounding West Karbi Anglong region.
-
D.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
E.
Hantes
Hantes is a river in Belgium and France that serves as a tributary of the Sambre.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded076ac9c8190a05cabec5e87d207 |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a5d8888190821988ad00351d05 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:52 a.m.