Triple

T15536057
Position Surface form Disambiguated ID Type / Status
Subject Mark-4 E370348 entity
Predicate follows P134 FINISHED
Object Mark-3 E90124 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: Mark-3 | Statement: [Mark-4, follows, Mark-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark-3
Context triple: [Mark-4, follows, Mark-3]
  • A. Mark-3 chosen
    Mark-3 is the third-generation Jaeger class to which the iconic mech Gipsy Danger belongs in the Pacific Rim universe.
  • B. Mark-4
    Mark-4 is a fourth-generation Jaeger classification used in the Pacific Rim universe, denoting advanced combat robots like Crimson Typhoon.
  • C. Mark 3B
    Mark 3B is a sub-series of British Rail Mark 3 passenger coaches, distinguished by design and interior modifications tailored for specific service requirements.
  • D. Mark III
    Mark III is one of Tony Stark’s early Iron Man armor suits, recognized for refining his initial design into a more advanced, weaponized, and iconic red-and-gold configuration.
  • E. Mark-5
    Mark-5 is a top-tier generation of Jaeger models in the Pacific Rim universe, known for its advanced technology and superior combat performance against kaiju.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442e327c8190b4b879c8a3cd38e3 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d605b908190a18c63142c8bb854 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:06 a.m.