Triple

T26805747
Position Surface form Disambiguated ID Type / Status
Subject Stadio Arechi E671830 entity
Predicate hasMaximumCapacity P14460 FINISHED
Object about 40000 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: about 40000 | Statement: [Stadio Arechi, hasMaximumCapacity, about 40000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMaximumCapacity
Context triple: [Stadio Arechi, hasMaximumCapacity, about 40000]
  • A. hasCapacityTo
    Indicates that one entity possesses the ability, power, or potential to perform an action or bring about a particular effect in relation to another entity or context.
  • B. maximumCapacity chosen
    Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
  • C. hasCapacityProperty
    Indicates that an entity is associated with a capacity-related characteristic, such as volume, throughput, or maximum amount it can hold or handle.
  • D. hasMaximumValue
    Indicates that one value in a set is the greatest or highest possible according to a specified criterion.
  • E. hasStandingCapacity
    Indicates that an entity is capable of maintaining or supporting a specified condition, function, or load on an ongoing basis.
  • 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_69eeb3225a3c8190aaf6746efeded2f3 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69fd67191cf88190b53ecbf5be3564e9 completed May 8, 2026, 4:31 a.m.
PD Predicate disambiguation batch_69fd654fdaac81908e67e75194710f06 completed May 8, 2026, 4:23 a.m.
Created at: April 27, 2026, 4:26 a.m.