Triple

T18425462
Position Surface form Disambiguated ID Type / Status
Subject Illinois and Michigan Canal E442127 entity
Predicate hasNumberOfAqueducts P46609 FINISHED
Object 4 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: 4 | Statement: [Illinois and Michigan Canal, hasNumberOfAqueducts, 4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfAqueducts
Context triple: [Illinois and Michigan Canal, hasNumberOfAqueducts, 4]
  • A. numberOfAqueducts chosen
    Indicates the quantity of aqueducts associated with or present in a given entity or context.
  • B. hasAqueduct
    Indicates that one entity possesses, contains, or is equipped with an aqueduct that serves or passes through it.
  • C. oneOfEarliestMajorAqueductsOf
    Indicates that the subject is among the earliest major aqueducts associated with the object.
  • D. hasNumberOfPiersInWater
    Indicates the quantity of piers that extend into or are situated within a body of water.
  • E. hasCanals
    Indicates that one entity possesses or contains canals, either as physical waterways or channel-like structures.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51b12606081908ea320fd8d5554c6 completed April 19, 2026, 6:12 p.m.
PD Predicate disambiguation batch_69e469bf7f74819096a01173493412c2 completed April 19, 2026, 5:35 a.m.
Created at: April 10, 2026, 10:47 a.m.