Triple

T1840428
Position Surface form Disambiguated ID Type / Status
Subject Neopanamax E41164 entity
Predicate hasMaxTEUCapacityApprox P18218 FINISHED
Object 14000 TEU 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: 14000 TEU | Statement: [Neopanamax, hasMaxTEUCapacityApprox, 14000 TEU]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMaxTEUCapacityApprox
Context triple: [Neopanamax, hasMaxTEUCapacityApprox, 14000 TEU]
  • A. typicalCapacity
    Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
  • B. weightLimitInKilograms
    Indicates the maximum allowable weight for something, expressed in kilograms.
  • C. designedCargoCapacity chosen
    Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
  • D. weightLimitInPounds
    Indicates the maximum allowable weight for something, expressed in pounds.
  • E. hasCargoTerminal
    Indicates that a location or facility includes or is equipped with a cargo terminal for handling freight.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb32d35508190bf1c487dffbecaf0 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafdb0d2c8190a67f584e67979fa3 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:33 p.m.