Triple

T6762259
Position Surface form Disambiguated ID Type / Status
Subject Grödinge E154622 entity
Predicate municipalitySeat P15510 FINISHED
Object Tumba E120611 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: Tumba | Statement: [Grödinge, municipalitySeat, Tumba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tumba
Context triple: [Grödinge, municipalitySeat, Tumba]
  • A. Tumba chosen
    Tumba is a suburban locality in Stockholm County, Sweden, known for its residential areas and historical paper mill industry.
  • B. Toten
    Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
  • C. Buri
    The Buri were an ancient Germanic tribe known for their involvement in conflicts with the Roman Empire, including participation in the Marcomannic Wars of the 2nd century AD.
  • D. Raqqada
    Raqqada was a prominent early medieval city in present-day Tunisia that served as the political and administrative center of the Aghlabid dynasty and a key hub of Islamic art and architecture in North Africa.
  • E. the Tomb
    The Tomb is the windowless, sandstone clubhouse of Yale University's secret society Skull and Bones, renowned for its mysterious rituals and exclusivity.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d21444dc8190a290af86c81e96a5 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712b6ec408190bd9131f289b02ba7 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:12 p.m.