Triple

T14718362
Position Surface form Disambiguated ID Type / Status
Subject Port Jervis station E345741 entity
Predicate hasStationCode P1289 FINISHED
Object PJ
PJ is the station code for Port Jervis station, a commuter rail terminus serving the city of Port Jervis, New York.
 E1116349 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: PJ | Statement: [Port Jervis station, hasStationCode, PJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PJ
Context triple: [Port Jervis station, hasStationCode, PJ]
  • A. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • B. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • C. PJ
    PJ is the commonly used abbreviation for Portugal’s Judiciary Police, the national criminal investigation police force.
  • D. PJ
    PJ is the common abbreviation for the Argentine Justicialist Party, a major Peronist political party in Argentina.
  • E. PJ
    PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
  • 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: PJ
Triple: [Port Jervis station, hasStationCode, PJ]
Generated description
PJ is the station code for Port Jervis station, a commuter rail terminus serving the city of Port Jervis, New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PJ
Target entity description: PJ is the station code for Port Jervis station, a commuter rail terminus serving the city of Port Jervis, New York.
  • A. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • B. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • C. PJ
    PJ is the common abbreviation for the Argentine Justicialist Party, a major Peronist political party in Argentina.
  • D. PJ
    PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
  • E. PJ
    PJ is the commonly used abbreviation for Portugal’s Judiciary Police, the national criminal investigation police force.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98823408190b4b58a4c4a3fa3a3 completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0935f088190b54f2e106532972a completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf2a63cc88190b3670378c54c96b6 completed May 8, 2026, 2:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdf31fcb4081908a88cf4d4c5ddced completed May 8, 2026, 2:28 p.m.
Created at: April 10, 2026, 1:29 a.m.