Triple
T27015279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolf Hitler Platz |
E680507
|
entity |
| Predicate | revertedToPrewarName |
P105425
|
FINISHED |
| Object | Prešeren Square |
—
|
NE NERFINISHED |
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: Prešeren Square | Statement: [Adolf Hitler Platz, revertedToPrewarName, Prešeren Square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revertedToPrewarName Context triple: [Adolf Hitler Platz, revertedToPrewarName, Prešeren Square]
-
A.
wasRenamedBackTo
chosen
Indicates that an entity, after having its name changed, was later restored to its previous or original name.
-
B.
changedNameInHonorOf
Indicates that an entity altered its name specifically to honor or pay tribute to another entity.
-
C.
formerName
Indicates that an entity was previously known by a different name in the past.
-
D.
previousNameOfCountry
Indicates that one country name was formerly used as the official name of another country.
-
E.
laterBecameKnownAs
Indicates that an entity was previously known by one name or identity and, at a later time, came to be known by a different name or identity.
- F. None of above.
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_69eeeb53939c8190bd431f32b060f01f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 7:05 a.m.