Triple

T10570721
Position Surface form Disambiguated ID Type / Status
Subject Grove Street station (Newark Light Rail) E249470 entity
Predicate hasStationCode P1289 FINISHED
Object GRO
GRO is the station code used to identify Grove Street station on the Newark Light Rail system in New Jersey.
 E873286 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: GRO | Statement: [Grove Street station (Newark Light Rail), hasStationCode, GRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GRO
Context triple: [Grove Street station (Newark Light Rail), hasStationCode, GRO]
  • A. GRO
    GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
  • B. GRO
    GRO is the commonly used acronym for the Compton Gamma Ray Observatory, a NASA space telescope that studied high-energy gamma-ray sources in the universe.
  • C. GROM
    GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
  • D. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • E. GRR
    GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
  • 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: GRO
Triple: [Grove Street station (Newark Light Rail), hasStationCode, GRO]
Generated description
GRO is the station code used to identify Grove Street station on the Newark Light Rail system in New Jersey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GRO
Target entity description: GRO is the station code used to identify Grove Street station on the Newark Light Rail system in New Jersey.
  • A. GRO
    GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
  • B. GRO
    GRO is the commonly used acronym for the Compton Gamma Ray Observatory, a NASA space telescope that studied high-energy gamma-ray sources in the universe.
  • C. GROM
    GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
  • D. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • E. GRR
    GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274678148190b7a1afc099628357 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b55d0f88190bd6853603f67e88d completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94f759e7c8190a9e2fd030977584d completed April 10, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69d952c334448190b1c21964b55a3a68 completed April 10, 2026, 7:42 p.m.
Created at: April 6, 2026, 12:37 p.m.