Triple

T16705061
Position Surface form Disambiguated ID Type / Status
Subject Srbobran E405946 entity
Predicate hasNameInHungarian P27628 FINISHED
Object Szenttamás
Szenttamás is the Hungarian name for the town of Srbobran in northern Serbia, located in the autonomous province of Vojvodina.
 E1229600 NE FINISHED

How this triple was built (4 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: Szenttamás | Statement: [Srbobran, hasNameInHungarian, Szenttamás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Szenttamás
Context triple: [Srbobran, hasNameInHungarian, Szenttamás]
  • A. Tamás
    Tamás is a Hungarian masculine given name commonly used in Hungary and among Hungarian-speaking communities.
  • B. Sebestyén
    Sebestyén is a Hungarian surname most notably borne by architect Artúr Sebestyén.
  • C. Tamási
    Tamási is a small town in Hungary known for its thermal baths and location within the Tolna County region.
  • D. Szent Jobb
    Szent Jobb is the revered, mummified right hand relic of Hungary’s first king, Saint Stephen, and a major national and religious symbol preserved in Budapest.
  • E. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Szenttamás
Triple: [Srbobran, hasNameInHungarian, Szenttamás]
Generated description
Szenttamás is the Hungarian name for the town of Srbobran in northern Serbia, located in the autonomous province of Vojvodina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Szenttamás
Target entity description: Szenttamás is the Hungarian name for the town of Srbobran in northern Serbia, located in the autonomous province of Vojvodina.
  • A. Tamás
    Tamás is a Hungarian masculine given name commonly used in Hungary and among Hungarian-speaking communities.
  • B. Sebestyén
    Sebestyén is a Hungarian surname most notably borne by architect Artúr Sebestyén.
  • C. Tamási
    Tamási is a small town in Hungary known for its thermal baths and location within the Tolna County region.
  • D. Szent Jobb
    Szent Jobb is the revered, mummified right hand relic of Hungary’s first king, Saint Stephen, and a major national and religious symbol preserved in Budapest.
  • E. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • F. None of above. chosen

Provenance (5 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383355f908190be467a12079b3d6f completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a36a5c8190a1486fcf11995b7c completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a0092f76d188190aae1f3d8bad47a1b completed May 10, 2026, 2:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0093ad67808190b4a983122e0a0415 completed May 10, 2026, 2:18 p.m.
Created at: April 10, 2026, 5:19 a.m.