Triple

T3302283
Position Surface form Disambiguated ID Type / Status
Subject Franklin expedition E69362 entity
Predicate possibleContributingFactor P10554 FINISHED
Object lead poisoning from tinned food or water systems 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: lead poisoning from tinned food or water systems | Statement: [Franklin expedition, possibleContributingFactor, lead poisoning from tinned food or water systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: possibleContributingFactor
Context triple: [Franklin expedition, possibleContributingFactor, lead poisoning from tinned food or water systems]
  • A. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • B. debatedAsCauseOf chosen
    Indicates that one entity is discussed or argued over as a possible cause or origin of another entity.
  • C. possibleSideEffect
    Indicates that one entity may occur as a side effect or unintended consequence of another entity or action.
  • D. deathContributedTo
    Indicates that one entity played a causal or contributing role in bringing about the death of another entity.
  • E. possibleIssue
    Indicates that there is a potential or suspected problem, defect, or undesired condition associated with the referenced entity or situation, though it is not yet confirmed.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a9450481909f0d630e5593085e completed March 8, 2026, 5:23 p.m.
PD Predicate disambiguation batch_69ada42625308190be257f16a623a410 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:11 p.m.