Triple

T17312659
Position Surface form Disambiguated ID Type / Status
Subject MAX Light Rail E420336 entity
Predicate abbreviation P43 FINISHED
Object MAX E420336 NE 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: MAX | Statement: [MAX Light Rail, abbreviation, MAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAX
Context triple: [MAX Light Rail, abbreviation, MAX]
  • A. MAX
    MAX is a family of low-cost, high-density CPLD (Complex Programmable Logic Device) products developed by Altera for implementing customizable digital logic functions.
  • B. MAX chosen
    MAX is the Portland metropolitan area’s light rail transit system, operated by TriMet and serving multiple lines across the region.
  • C. MAX
    MAX is a Marvel Comics imprint created for mature readers, featuring darker, more explicit stories often starring grittier versions of established characters.
  • D. MAXR
    MAXR is the stock ticker symbol for Maxar Technologies, a company specializing in satellite imagery, geospatial intelligence, and space infrastructure solutions.
  • E. Max-D
    Max-D is a famous Monster Jam freestyle and racing monster truck known for its spiked body, aggressive design, and high-flying stunts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399a4194819091d34cd3fffc8072 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e6e830819097b33d6b99232727 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.