Triple

T17381729
Position Surface form Disambiguated ID Type / Status
Subject Jersey Airport E422584 entity
Predicate IATAcode P418 FINISHED
Object JER
JER is the IATA airport code for Jersey Airport, the main international airport serving the Channel Island of Jersey.
 E1266158 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: JER | Statement: [Jersey Airport, IATAcode, JER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JER
Context triple: [Jersey Airport, IATAcode, JER]
  • A. JE
    JE is the station code used to identify Jean-Drapeau station in the Montreal Metro system.
  • B. JRG
    JRG is the IATA airport code for Jharsuguda Airport in the Indian state of Odisha.
  • C. Jerm
    Jerm is a casual shortened nickname commonly used for people named Jermaine.
  • D. JR
    JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
  • E. JR
    JR is a character from Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," which chronicles the lives and relationships of a diverse group of lesbian friends.
  • 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: JER
Triple: [Jersey Airport, IATAcode, JER]
Generated description
JER is the IATA airport code for Jersey Airport, the main international airport serving the Channel Island of Jersey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JER
Target entity description: JER is the IATA airport code for Jersey Airport, the main international airport serving the Channel Island of Jersey.
  • A. JE
    JE is the station code used to identify Jean-Drapeau station in the Montreal Metro system.
  • B. JRG
    JRG is the IATA airport code for Jharsuguda Airport in the Indian state of Odisha.
  • C. Jerm
    Jerm is a casual shortened nickname commonly used for people named Jermaine.
  • D. JR
    JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
  • E. JR
    JR is the station code assigned to J. Ruiz station in the Manila Metro Rail Transit system.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a860f588190915e0671f44bfbcc completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019ff527a48190bc067819a26661eb completed May 11, 2026, 9:23 a.m.
NEDg Description generation batch_6a01a0d55d688190ad278f7189711773 completed May 11, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_6a01a1b4b2888190bcd8c008567c9c1e completed May 11, 2026, 9:30 a.m.
Created at: April 10, 2026, 5:45 a.m.