Triple

T29939486
Position Surface form Disambiguated ID Type / Status
Subject Haber–Bosch process E760454 entity
Predicate typeOfNitrogenFixation P199289 FINISHED
Object industrial nitrogen fixation 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: industrial nitrogen fixation | Statement: [Haber–Bosch process, typeOfNitrogenFixation, industrial nitrogen fixation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfNitrogenFixation
Context triple: [Haber–Bosch process, typeOfNitrogenFixation, industrial nitrogen fixation]
  • A. estimatedShareOfHumanNitrogenFixation
    Indicates the proportion of total human-driven nitrogen fixation that is attributed to a given entity or process.
  • B. fixesNitrogen
    Indicates that the subject converts atmospheric nitrogen into biologically usable forms through nitrogen fixation.
  • C. nitrogenSource
    Indicates that one entity serves as the source or provider of nitrogen for another entity.
  • D. nitrateReduction
    Indicates that a process or agent converts nitrate into a more reduced nitrogen form, such as nitrite, ammonia, or nitrogen gas.
  • E. hasNitrogenToPhosphorusRatio
    Indicates that there is a specific quantitative relationship between the amount of nitrogen and the amount of phosphorus associated with an entity.
  • F. None of above. chosen

Provenance (4 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_69f22463f3648190a603c3ff305c660b completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69ff2d22ffb48190ae58ddf3c7e02869 completed May 9, 2026, 12:48 p.m.
PD Predicate disambiguation batch_69ff2ac2e1c4819096cc64e94aef2ff0 completed May 9, 2026, 12:38 p.m.
PDg Predicate description generation batch_69ff2d21f0a48190ad2ef5901cb07d93 completed May 9, 2026, 12:48 p.m.
Created at: April 29, 2026, 6:22 p.m.