Triple

T5668539
Position Surface form Disambiguated ID Type / Status
Subject Regnitz E124915 entity
Predicate mouthOfWaterBody P3817 FINISHED
Object Main E41131 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: Main | Statement: [Regnitz, mouthOfWaterBody, Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Main
Context triple: [Regnitz, mouthOfWaterBody, Main]
  • A. Main chosen
    The Main is a major river in Germany that flows through central regions including the state of Bavaria before joining the Rhine.
  • B. Main Post
    Main Post is the historic core of the Presidio of San Francisco, featuring former military headquarters, parade grounds, and preserved buildings that now serve cultural, recreational, and visitor uses.
  • C. Red Main
    The Red Main is a river in northern Bavaria, Germany, that flows through the city of Bayreuth and forms one of the two headstreams of the Main River.
  • D. Main Board
    The Main Board of the Shanghai Stock Exchange is its primary market segment where large, established companies list and trade their shares.
  • E. Bei Maejor
    Bei Maejor, also known as Maejor, is an American singer, songwriter, and record producer recognized for his work in R&B and hip-hop music.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023471f688190acec330596238a50 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04dafb6b081909c5bf1527f185819 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:43 p.m.