Triple

T20262869
Position Surface form Disambiguated ID Type / Status
Subject Metroid Fusion E498887 entity
Predicate antagonist P4675 FINISHED
Object SA-X
SA-X is a powerful, shape-shifting X Parasite that mimics Samus Aran and serves as the primary menacing foe in the game Metroid Fusion.
 E1420605 NE FINISHED

How this triple was built (4 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: SA-X | Statement: [Metroid Fusion, antagonist, SA-X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SA-X
Context triple: [Metroid Fusion, antagonist, SA-X]
  • A. XASX
    XASX is the market identifier code for the Australian Securities Exchange operated by the Commonwealth Bank of Australia.
  • B. SJX
    SJX is the IATA airport code for Beaver Island Airport, a public airport serving Beaver Island in Michigan, United States.
  • C. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • D. SXB
    SXB is the IATA airport code for Strasbourg Airport, the main international airport serving Strasbourg in northeastern France.
  • E. XAK
    XAK is the three-letter ICAO airline designator assigned to Airkenya Express, a regional carrier based in Kenya.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SA-X
Triple: [Metroid Fusion, antagonist, SA-X]
Generated description
SA-X is a powerful, shape-shifting X Parasite that mimics Samus Aran and serves as the primary menacing foe in the game Metroid Fusion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SA-X
Target entity description: SA-X is a powerful, shape-shifting X Parasite that mimics Samus Aran and serves as the primary menacing foe in the game Metroid Fusion.
  • A. XASX
    XASX is the market identifier code for the Australian Securities Exchange operated by the Commonwealth Bank of Australia.
  • B. SJX
    SJX is the IATA airport code for Beaver Island Airport, a public airport serving Beaver Island in Michigan, United States.
  • C. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • D. SXB
    SXB is the IATA airport code for Strasbourg Airport, the main international airport serving Strasbourg in northeastern France.
  • E. XAK
    XAK is the three-letter ICAO airline designator assigned to Airkenya Express, a regional carrier based in Kenya.
  • F. None of above. chosen

Provenance (5 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674cba2748190a886ecd8316dc518 completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0855311d4c8190bab2119e20359ae9 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855c6bab08190831cc78647de84fc completed May 16, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0856e66c808190b5ef994f1cbc5f3e completed May 16, 2026, 11:37 a.m.
Created at: April 11, 2026, 11:41 p.m.