Triple
T8769316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferenc Szálasi |
E208416
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Kassa |
E240920
|
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: Kassa | Statement: [Ferenc Szálasi, placeOfBirth, Kassa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kassa Context triple: [Ferenc Szálasi, placeOfBirth, Kassa]
-
A.
Kassa
chosen
Kassa is the historical Hungarian name for the city now known as Košice in eastern Slovakia.
-
B.
Raha
Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
-
C.
Raha
Raha is a town in the Nagaon district of Assam, India, known as the birthplace of prominent Indian freedom fighter and politician Gopinath Bordoloi.
-
D.
Caja
Caja is the file manager used in the MATE desktop environment, providing users with tools to browse, organize, and manage their files and folders.
-
E.
Moneybags
Moneybags is a recurring, money-obsessed bear character in the Spyro the Dragon video game series who charges the player gems to unlock paths, abilities, and characters.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5eedc7188190a67d959b9af53837 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51af01e48190af674a03d0768f3b |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:41 p.m.