Triple
T16723296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesmond Metro station |
E406401
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
JES
JES is the station code for Jesmond, a Tyne and Wear Metro station in Newcastle upon Tyne, England.
|
E1231284
|
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: JES | Statement: [Jesmond Metro station, hasStationCode, JES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JES Context triple: [Jesmond Metro station, hasStationCode, JES]
-
A.
JES
JES is a local political party active in the Austrian town of Jennersdorf.
-
B.
JES1
JES1 is an early IBM mainframe job entry subsystem used to manage the input, scheduling, and output of batch jobs in OS/VS1 environments.
-
C.
JES2
JES2 (Job Entry Subsystem 2) is an IBM mainframe component that manages the input, scheduling, and output of batch jobs and print workloads in the z/OS operating system.
-
D.
JES3
JES3 is a mainframe job entry subsystem for IBM z/OS that manages and controls the scheduling, execution, and output of batch jobs across single or multiple systems.
-
E.
JED
JED is the IATA airport code for King Abdulaziz International Airport, the main international gateway serving Jeddah, Saudi Arabia.
- 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: JES Triple: [Jesmond Metro station, hasStationCode, JES]
Generated description
JES is the station code for Jesmond, a Tyne and Wear Metro station in Newcastle upon Tyne, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JES Target entity description: JES is the station code for Jesmond, a Tyne and Wear Metro station in Newcastle upon Tyne, England.
-
A.
JES
JES is a local political party active in the Austrian town of Jennersdorf.
-
B.
JES1
JES1 is an early IBM mainframe job entry subsystem used to manage the input, scheduling, and output of batch jobs in OS/VS1 environments.
-
C.
JES2
JES2 (Job Entry Subsystem 2) is an IBM mainframe component that manages the input, scheduling, and output of batch jobs and print workloads in the z/OS operating system.
-
D.
JES3
JES3 is a mainframe job entry subsystem for IBM z/OS that manages and controls the scheduling, execution, and output of batch jobs across single or multiple systems.
-
E.
JED
JED is the IATA airport code for King Abdulaziz International Airport, the main international gateway serving Jeddah, Saudi Arabia.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38745d2048190b476e5aa83ec7fec |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d43c49081908eca922da8f90793 |
completed | May 10, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_6a00a19d8dc08190be5d750f71b083dc |
completed | May 10, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a269cacc81909d084c5d3497a4e6 |
completed | May 10, 2026, 3:21 p.m. |
Created at: April 10, 2026, 5:20 a.m.