Triple

T4730270
Position Surface form Disambiguated ID Type / Status
Subject Gare de Javel E104987 entity
Predicate hasStationCode P1289 FINISHED
Object JAV
JAV is the station code for Gare de Javel, a Paris RER commuter rail station in the 15th arrondissement.
 E465146 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: JAV | Statement: [Gare de Javel, hasStationCode, JAV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JAV
Context triple: [Gare de Javel, hasStationCode, JAV]
  • A. Javakade
    Javakade is a waterfront street on Amsterdam’s Java Island known for its modern residential architecture and harborside views.
  • B. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • C. JA
    JA is the commonly used abbreviation for the Japan Academy, an organization that honors and promotes outstanding academic achievements in Japan.
  • D. JA
    JA is the IATA airline designator assigned to JetSMART, a South American low-cost carrier.
  • E. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • 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: JAV
Triple: [Gare de Javel, hasStationCode, JAV]
Generated description
JAV is the station code for Gare de Javel, a Paris RER commuter rail station in the 15th arrondissement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JAV
Target entity description: JAV is the station code for Gare de Javel, a Paris RER commuter rail station in the 15th arrondissement.
  • A. Javakade
    Javakade is a waterfront street on Amsterdam’s Java Island known for its modern residential architecture and harborside views.
  • B. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • C. JA
    JA is the commonly used abbreviation for the Japan Academy, an organization that honors and promotes outstanding academic achievements in Japan.
  • D. JA
    JA is the IATA airline designator assigned to JetSMART, a South American low-cost carrier.
  • E. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64629bc081908754aa8a2630091f completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10a4bc0481908935278afb13503d completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be13d99f9881908dd19dd40ac87a6d completed March 21, 2026, 3:43 a.m.
NED2 Entity disambiguation (via description) batch_69be143ea2108190941294255bc4679c completed March 21, 2026, 3:45 a.m.
Created at: March 20, 2026, 1:19 p.m.