Triple

T214560
Position Surface form Disambiguated ID Type / Status
Subject Positive Train Control E4790 entity
Predicate alsoKnownAs P39 FINISHED
Object PTC
PTC is an advanced safety system used on railroads to automatically prevent train collisions, overspeed derailments, and other dangerous movements.
 E27532 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: PTC | Statement: [Positive Train Control, alsoKnownAs, PTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PTC
Context triple: [Positive Train Control, alsoKnownAs, PTC]
  • A. PTP
    PTP is a network-based time synchronization protocol defined by the IEEE 1588 standard that enables highly precise clock alignment across distributed systems.
  • B. PRT
    PRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Portugal.
  • C. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • D. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • E. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • 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: PTC
Triple: [Positive Train Control, alsoKnownAs, PTC]
Generated description
PTC is an advanced safety system used on railroads to automatically prevent train collisions, overspeed derailments, and other dangerous movements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PTC
Target entity description: PTC is an advanced safety system used on railroads to automatically prevent train collisions, overspeed derailments, and other dangerous movements.
  • A. PTP
    PTP is a network-based time synchronization protocol defined by the IEEE 1588 standard that enables highly precise clock alignment across distributed systems.
  • B. PRT
    PRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Portugal.
  • C. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • D. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • E. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c32ae208190a03d504ef43ea659 completed Feb. 28, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a33e3f66888190a05ddcb0af4d3c5f completed Feb. 28, 2026, 7:13 p.m.
NEDg Description generation batch_69a33ee88af08190bfe81fba01856829 completed Feb. 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69a34295afa88190aae0d75a337967e3 completed Feb. 28, 2026, 7:31 p.m.
Created at: Feb. 28, 2026, 2:52 a.m.