Triple
T3916127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Coast Guard |
E88843
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
JCG
JCG is the maritime safety and law enforcement agency of Japan responsible for search and rescue, patrol, and security in the country's territorial waters and exclusive economic zone.
|
E400527
|
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: JCG | Statement: [Japan Coast Guard, abbreviation, JCG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JCG Context triple: [Japan Coast Guard, abbreviation, JCG]
-
A.
CJC
CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
-
B.
CJP
CJP is the commonly used abbreviation for the Chief Justice of Pakistan, the head of the country's Supreme Court and judiciary.
-
C.
CJF
CJF is the abbreviation for Mexico’s Federal Judiciary Council, the body responsible for overseeing and administering the federal court system.
-
D.
JCP
JCP is the formalized process by which the Java community develops and standardizes Java platform specifications and related technologies.
-
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: JCG Triple: [Japan Coast Guard, abbreviation, JCG]
Generated description
JCG is the maritime safety and law enforcement agency of Japan responsible for search and rescue, patrol, and security in the country's territorial waters and exclusive economic zone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JCG Target entity description: JCG is the maritime safety and law enforcement agency of Japan responsible for search and rescue, patrol, and security in the country's territorial waters and exclusive economic zone.
-
A.
CJC
CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
-
B.
CJP
CJP is the commonly used abbreviation for the Chief Justice of Pakistan, the head of the country's Supreme Court and judiciary.
-
C.
CJF
CJF is the abbreviation for Mexico’s Federal Judiciary Council, the body responsible for overseeing and administering the federal court system.
-
D.
JCP
JCP is the formalized process by which the Java community develops and standardizes Java platform specifications and related technologies.
-
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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed55fe3881909776652f0d64f66c |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b528606ef88190a06ab8073d1df945 |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b5298d7be08190adb4a23edb716ce6 |
completed | March 14, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52de8756c81909d03188bdc29ee88 |
completed | March 14, 2026, 9:44 a.m. |
Created at: March 9, 2026, 3:22 p.m.