Triple

T11350223
Position Surface form Disambiguated ID Type / Status
Subject HaRosh E268821 entity
Predicate alsoKnownAs P39 FINISHED
Object the Rosh E54446 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: the Rosh | Statement: [HaRosh, alsoKnownAs, the Rosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Rosh
Context triple: [HaRosh, alsoKnownAs, the Rosh]
  • A. Rosh chosen
    Rosh (Rabbeinu Asher ben Jehiel) was a prominent 13th–14th century Talmudic authority and halachic codifier whose rulings significantly shaped later Jewish law, including the Shulchan Aruch.
  • B. Roshn
    Roshn is a Saudi Arabian real estate developer backed by the Public Investment Fund, known for building large-scale residential communities across the kingdom.
  • C. الروشة
    الروشة حي ساحلي شهير في بيروت اللبنانية معروف بصخور الروشة البارزة في البحر ومقاهيه وإطلالته البحرية السياحية.
  • D. RÜD
    RÜD is the German vehicle registration code for the Rheingau-Taunus-Kreis district in the state of Hesse.
  • E. RuSHA
    RuSHA was a Nazi SS office responsible for implementing racial policies, including racial selection, resettlement, and the persecution and displacement of populations in occupied territories.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea23391c819089e8f9725cb3a0ff completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5439a7ee481908d244f79041b3af6 completed April 19, 2026, 9:05 p.m.
Created at: April 8, 2026, 9:33 p.m.