Triple

T2400845
Position Surface form Disambiguated ID Type / Status
Subject Alignment E47762 entity
Predicate hasPart P35 FINISHED
Object Mapam E89345 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: Mapam | Statement: [Alignment, hasPart, Mapam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mapam
Context triple: [Alignment, hasPart, Mapam]
  • A. Mapam chosen
    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.
  • B. Mapah
    Mapah is Rabbi Moses Isserles’s glosses on the Shulchan Aruch, integrating Ashkenazi customs and rulings into that foundational Jewish legal code.
  • C. Mapai
    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.
  • D. MAP
    MAP was the abbreviated name used for the United Kingdom’s Ministry of Aircraft Production, the World War II government department responsible for overseeing and increasing aircraft manufacturing.
  • E. Wallmapu
    Wallmapu is the ancestral homeland of the Mapuche people, encompassing their traditional territories across parts of present-day Chile and Argentina.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8caf12c8190b1482b9bc7bf9606 completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69af177b898c8190bee910be75e93f6c completed March 9, 2026, 6:54 p.m.
Created at: March 4, 2026, 7:57 p.m.