Triple

T26253262
Position Surface form Disambiguated ID Type / Status
Subject von Neumann neighborhood E656652 entity
Predicate inducesMetric P90167 FINISHED
Object Manhattan distance (L1 metric)
Manhattan distance (L1 metric) is a way of measuring distance in a grid-like space by summing the absolute differences of each coordinate, analogous to navigating city blocks.
 E1713899 NE FINISHED

How this triple was built (3 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: Manhattan distance (L1 metric) | Statement: [von Neumann neighborhood, inducesMetric, Manhattan distance (L1 metric)]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Manhattan distance (L1 metric)
Triple: [von Neumann neighborhood, inducesMetric, Manhattan distance (L1 metric)]
Generated description
Manhattan distance (L1 metric) is a way of measuring distance in a grid-like space by summing the absolute differences of each coordinate, analogous to navigating city blocks.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: inducesMetric
Context triple: [von Neumann neighborhood, inducesMetric, Manhattan distance (L1 metric)]
  • A. definesMetric chosen
    Indicates that one entity specifies or establishes a metric (a standard of measurement or evaluation) that is applied to or used by another entity.
  • B. isMetric
    Indicates that something satisfies the properties required to be considered a metric, such as defining distances that obey non-negativity, identity, symmetry, and the triangle inequality.
  • C. usesMetric
    Indicates that one entity adopts, applies, or relies on a particular metric or measurement standard in its operation, evaluation, or description.
  • D. isMetricIndependent
    Indicates that the relationship or property holds regardless of the specific metric or distance function chosen on the underlying space.
  • E. metricType
    Indicates the specific category or kind of measurement that a given metric represents.
  • F. None of above.

Provenance (6 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_69ee5b4d25ac819086acb51184602576 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f60dcc29cc81908880bd825cb12141 completed May 2, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1185a69bb88190806ae54000f18035 completed May 23, 2026, 10:47 a.m.
NEDg Description generation batch_6a11865b89b88190bb7786de150068e9 completed May 23, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a1186d5ad5c81908645150955c109dc completed May 23, 2026, 10:52 a.m.
PD Predicate disambiguation batch_69f5f7fd90fc81909055b211368f9139 completed May 2, 2026, 1:11 p.m.
Created at: April 26, 2026, 9:07 p.m.