Triple

T15852986
Position Surface form Disambiguated ID Type / Status
Subject ExtraMOT E384385 entity
Predicate marketSegment P481 FINISHED
Object ExtraMOT PRO E384385 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: ExtraMOT PRO | Statement: [ExtraMOT, marketSegment, ExtraMOT PRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ExtraMOT PRO
Context triple: [ExtraMOT, marketSegment, ExtraMOT PRO]
  • A. ExtraMOT chosen
    ExtraMOT is a bond trading platform operated by Borsa Italiana that focuses on the listing and exchange of corporate and other debt securities.
  • B. Enhanced Motion Vehicle
    The Enhanced Motion Vehicle is an advanced ride system that combines motion simulation with synchronized visuals and effects to create an immersive, dynamic theme park experience.
  • C. MX-CAM
    MX-CAM is the ISO 3166-2 subdivision code that uniquely identifies the Mexican state of Campeche.
  • D. MTC
    MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
  • E. MTC
    MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14caddd2c8190859b2926b0e1ad35 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa147bce481909fb6f6ef2793a5a8 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.