Triple

T3675438
Position Surface form Disambiguated ID Type / Status
Subject Harmon Gym E77979 entity
Predicate capacityCharacteristic P1931 FINISHED
Object smaller seating capacity than Haas Pavilion 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: smaller seating capacity than Haas Pavilion | Statement: [Harmon Gym, capacityCharacteristic, smaller seating capacity than Haas Pavilion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: capacityCharacteristic
Context triple: [Harmon Gym, capacityCharacteristic, smaller seating capacity than Haas Pavilion]
  • A. capacityCategory
    Indicates the classification of something based on the amount or volume it can hold, handle, or accommodate.
  • B. logisticalCharacteristic
    Indicates the logistical properties or constraints associated with an entity, such as how it is stored, transported, handled, or supplied.
  • C. equipmentCharacteristic
    Indicates that a specific characteristic, property, or attribute is associated with a piece of equipment.
  • D. typicalCapacity chosen
    Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
  • E. cargoCapacityFeature
    Indicates that an entity has a feature specifying how much cargo it can carry or accommodate.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4619cf08190a09a4a820c59cbc4 completed March 8, 2026, 6:48 p.m.
PD Predicate disambiguation batch_69adb84a20288190a092e4a1b045fe3f completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:25 p.m.