Triple
T13278096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ausgleich |
E316244
|
entity |
| Predicate | tookPlaceIn |
P40
|
FINISHED |
| Object | Pest-Buda |
E840043
|
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: Pest-Buda | Statement: [Ausgleich, tookPlaceIn, Pest-Buda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pest-Buda Context triple: [Ausgleich, tookPlaceIn, Pest-Buda]
-
A.
Pest-Buda
chosen
Pest-Buda was the historic twin-city on the banks of the Danube—comprising Pest and Buda—that served as a political and cultural center of Hungary before its unification into modern Budapest.
-
B.
Bubas
Bubas is a surname most notably associated with Vic Bubas, a prominent American college basketball coach.
-
C.
Pütürge
Pütürge is a rural district and town in eastern Turkey known for its mountainous terrain and traditional Anatolian village life.
-
D.
Barbula
Barbula was a cognomen of the ancient Roman gens Aemilia, borne by several members of this prominent patrician family.
-
E.
Eperjes
Eperjes is a historic town in present-day Slovakia, known today as Prešov, which was one of the major urban centers of the former Upper Hungary region.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99043fba88190872ede6f63e2fbcb |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a56fa048190b32dcef31b978d9c |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.