Triple

T13248006
Position Surface form Disambiguated ID Type / Status
Subject Takács E315454 entity
Predicate variantSpelling P457 FINISHED
Object Takats
Takats is a surname of Hungarian origin, commonly appearing as a simplified or anglicized spelling of "Takács."
 E1029772 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: Takats | Statement: [Takács, variantSpelling, Takats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Takats
Context triple: [Takács, variantSpelling, Takats]
  • A. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • B. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • C. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • D. Takab
    Takab is a town in Iran’s West Azerbaijan Province known as the gateway to the UNESCO-listed Sassanian archaeological site of Takht-e Soleyman.
  • E. Tak
    Tak is a mountainous province and town in northwestern Thailand known as a gateway to Myanmar and for its natural parks, waterfalls, and cross-border trade.
  • 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: Takats
Triple: [Takács, variantSpelling, Takats]
Generated description
Takats is a surname of Hungarian origin, commonly appearing as a simplified or anglicized spelling of "Takács."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Takats
Target entity description: Takats is a surname of Hungarian origin, commonly appearing as a simplified or anglicized spelling of "Takács."
  • A. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • B. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • C. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • D. Takab
    Takab is a town in Iran’s West Azerbaijan Province known as the gateway to the UNESCO-listed Sassanian archaeological site of Takht-e Soleyman.
  • E. Tak
    Tak is a mountainous province and town in northwestern Thailand known as a gateway to Myanmar and for its natural parks, waterfalls, and cross-border trade.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d9e7ea881908abc4b3a54896692 completed April 10, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff37f7448190b9c555cae010d3b6 completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f70476310c8190b13dc948c1f1ce95 completed May 3, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_69f70578047c819089fc3044eceb4eac completed May 3, 2026, 8:21 a.m.
Created at: April 9, 2026, 9:24 p.m.