Triple
T14898706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan Journal of International Law |
E359944
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
MJIL
MJIL is a student-edited law review at the University of Michigan Law School that focuses on scholarship in international and comparative law.
|
E1125235
|
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: MJIL | Statement: [Michigan Journal of International Law, hasAbbreviation, MJIL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MJIL Context triple: [Michigan Journal of International Law, hasAbbreviation, MJIL]
-
A.
SJIL
SJIL is a leading student-run law review at Stanford Law School that publishes scholarly articles on international and comparative law.
-
B.
VJIL
VJIL is the abbreviation for the Virginia Journal of International Law, a leading student-edited law review focusing on international and comparative legal issues.
-
C.
MJAL
MJAL is the ICAO airport code assigned to Jaluit Airport in the Marshall Islands.
-
D.
JLI
JLI is the station code for Jolimont railway station, a suburban train station serving the Jolimont area of Melbourne, Australia.
-
E.
JSLC
JSLC is a major Chinese spaceport in the Gobi Desert used for launching satellites and crewed Shenzhou missions into orbit.
- 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: MJIL Triple: [Michigan Journal of International Law, hasAbbreviation, MJIL]
Generated description
MJIL is a student-edited law review at the University of Michigan Law School that focuses on scholarship in international and comparative law.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MJIL Target entity description: MJIL is a student-edited law review at the University of Michigan Law School that focuses on scholarship in international and comparative law.
-
A.
SJIL
SJIL is a leading student-run law review at Stanford Law School that publishes scholarly articles on international and comparative law.
-
B.
VJIL
VJIL is the abbreviation for the Virginia Journal of International Law, a leading student-edited law review focusing on international and comparative legal issues.
-
C.
MJAL
MJAL is the ICAO airport code assigned to Jaluit Airport in the Marshall Islands.
-
D.
JLI
JLI is the station code for Jolimont railway station, a suburban train station serving the Jolimont area of Melbourne, Australia.
-
E.
JSLC
JSLC is a major Chinese spaceport in the Gobi Desert used for launching satellites and crewed Shenzhou missions into orbit.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6084574819098033a9723f3e1c4 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b6966e88190a0ed475b22a77cf1 |
completed | May 8, 2026, 11:02 p.m. |
| NEDg | Description generation | batch_69fe6d199298819081207e27dfdf485f |
completed | May 8, 2026, 11:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6de49480819087b36c070c434bf7 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 10, 2026, 2:11 a.m.