Triple

T21027076
Position Surface form Disambiguated ID Type / Status
Subject Zone of Avoidance E517966 entity
Predicate makesDifficult P78451 FINISHED
Object mapping large‑scale structure of the Universe LITERAL 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: mapping large‑scale structure of the Universe | Statement: [Zone of Avoidance, makesDifficult, mapping large‑scale structure of the Universe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: makesDifficult
Context triple: [Zone of Avoidance, makesDifficult, mapping large‑scale structure of the Universe]
  • A. difficultyOption
    Indicates a relationship where a particular option specifies or represents a level of difficulty for something (e.g., a task, question, or activity).
  • B. difficulty
    Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
  • C. hasDifficultyEffect
    Indicates that one entity causes a change in the difficulty level or challenge associated with another entity or activity.
  • D. difficultyModes
    Indicates the different levels of challenge or complexity available for performing a task, activity, or process.
  • E. difficultySource chosen
    Indicates that one entity is the cause, origin, or contributing factor to the difficulty or challenge experienced in relation to another entity or situation.
  • F. None of above.

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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc7d93908190a2c29a4051fb5acc completed April 21, 2026, 4:26 a.m.
PD Predicate disambiguation batch_69e5dbf274ac81909bbf245627dc8fdc completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 1:55 p.m.