Triple

T13498384
Position Surface form Disambiguated ID Type / Status
Subject ACS-64 E320818 entity
Predicate safetySystem P840 FINISHED
Object ACSES E294917 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: ACSES | Statement: [ACS-64, safetySystem, ACSES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACSES
Context triple: [ACS-64, safetySystem, ACSES]
  • A. ACSES chosen
    ACSES (Advanced Civil Speed Enforcement System) is a positive train control technology used on U.S. railroads to enforce speed limits and signal compliance, enhancing operational safety.
  • B. ACSI
    ACSI is Atari's proprietary hard disk and peripheral interface standard used to connect external storage devices to its computers.
  • C. ACS
    ACS is an organization whose name is abbreviated from the Special Committee for Transport, likely functioning as a body focused on transportation policy or oversight.
  • D. ACS
    ACS is a professional organization of surgeons dedicated to improving the quality of surgical care and setting high standards for surgical education and practice.
  • E. ACS
    ACS is a regional organization that promotes cooperation, trade, and sustainable development among Caribbean and neighboring Latin American states.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75485af6c8190a43ccab5449f5014 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.