Triple

T20243803
Position Surface form Disambiguated ID Type / Status
Subject Yitzhak Tabenkin E498368 entity
Predicate memberOf P10 FINISHED
Object Mapai E30738 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: Mapai | Statement: [Yitzhak Tabenkin, memberOf, Mapai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mapai
Context triple: [Yitzhak Tabenkin, memberOf, Mapai]
  • A. Mapai chosen
    Mapai was a dominant left-wing labor Zionist political party in pre-state and early Israel that played a central role in founding and governing the country.
  • B. Mapam
    Mapam was a left-wing socialist Zionist political party in Israel that played a significant role in the early decades of the state, particularly within the kibbutz movement and peace-oriented politics.
  • C. Maap
    Maap is one of the islands in the Yap archipelago of the Federated States of Micronesia, known for its traditional culture and Pacific island environment.
  • D. Mapah
    Mapah is Rabbi Moses Isserles’s glosses on the Shulchan Aruch, integrating Ashkenazi customs and rulings into that foundational Jewish legal code.
  • E. Mappa
    Mappa is a celebrated series of world map embroideries by Italian conceptual artist Alighiero Boetti, known for its colorful, country-flag-filled cartography that reflects global politics and shifting borders.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e67170aa248190922fc845d2265ae3 completed April 20, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b9607b48190bc9c68c4e9b8f9b8 completed May 16, 2026, 10:48 a.m.
Created at: April 11, 2026, 11:40 p.m.