Triple
T12648372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Government Railways |
E302090
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
JGR
JGR is the abbreviation commonly used for Japanese Government Railways, the former state-owned railway system of Japan that operated before the creation of Japanese National Railways.
|
E995178
|
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: JGR | Statement: [Japanese Government Railways, shortName, JGR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JGR Context triple: [Japanese Government Railways, shortName, JGR]
-
A.
GRJ
GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
-
B.
JD
The JD (Juris Doctor) is a professional graduate law degree that qualifies individuals to practice law in many jurisdictions.
-
C.
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.
-
D.
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.
-
E.
JR
JR is the station code assigned to J. Ruiz station in the Manila Metro Rail Transit system.
- 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: JGR Triple: [Japanese Government Railways, shortName, JGR]
Generated description
JGR is the abbreviation commonly used for Japanese Government Railways, the former state-owned railway system of Japan that operated before the creation of Japanese National Railways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JGR Target entity description: JGR is the abbreviation commonly used for Japanese Government Railways, the former state-owned railway system of Japan that operated before the creation of Japanese National Railways.
-
A.
GRJ
GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
-
B.
JD
The JD (Juris Doctor) is a professional graduate law degree that qualifies individuals to practice law in many jurisdictions.
-
C.
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.
-
D.
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.
-
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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9615cf6f48190bd0983cf7465ab15 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687bbb408190b80da2d0310f82c5 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f6695372688190b09a2bb2e58cb546 |
completed | May 2, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f669fbb9f88190b0f5cc5bb758d132 |
completed | May 2, 2026, 9:17 p.m. |
Created at: April 9, 2026, 5:17 p.m.