Triple
T1107055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Justice of India |
E25508
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
CJI
CJI is the commonly used abbreviation for the Chief Justice of India, the head of the Indian judiciary and the Supreme Court of India.
|
E126593
|
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: CJI | Statement: [Chief Justice of India, shortName, CJI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CJI Context triple: [Chief Justice of India, shortName, CJI]
-
A.
CJUE
CJUE is the French acronym for the Court of Justice of the European Union, the EU’s highest judicial authority responsible for interpreting EU law and ensuring its uniform application across member states.
-
B.
SCJ
SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
-
C.
Sup Ct
Sup Ct is the standard legal abbreviation for the New York Supreme Court, the state’s trial-level court of general jurisdiction.
-
D.
Corte
Corte is a historic inland town in central Corsica known for its dramatic citadel and role as a former capital of the island.
-
E.
CJBS
CJBS is the acronym for Cambridge Judge Business School, the University of Cambridge’s renowned business school offering MBA, master’s, PhD, and executive education programs.
- 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: CJI Triple: [Chief Justice of India, shortName, CJI]
Generated description
CJI is the commonly used abbreviation for the Chief Justice of India, the head of the Indian judiciary and the Supreme Court of India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CJI Target entity description: CJI is the commonly used abbreviation for the Chief Justice of India, the head of the Indian judiciary and the Supreme Court of India.
-
A.
CJUE
CJUE is the French acronym for the Court of Justice of the European Union, the EU’s highest judicial authority responsible for interpreting EU law and ensuring its uniform application across member states.
-
B.
SCJ
SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
-
C.
Sup Ct
Sup Ct is the standard legal abbreviation for the New York Supreme Court, the state’s trial-level court of general jurisdiction.
-
D.
Corte
Corte is a historic inland town in central Corsica known for its dramatic citadel and role as a former capital of the island.
-
E.
CJBS
CJBS is the acronym for Cambridge Judge Business School, the University of Cambridge’s renowned business school offering MBA, master’s, PhD, and executive education programs.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e47e4881908928900df72781f0 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c4cee1881909ca8af01f22bb8bb |
completed | March 7, 2026, 4:03 p.m. |
| NEDg | Description generation | batch_69ac4d1d58ac8190b1fc39a28aff8c46 |
completed | March 7, 2026, 4:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4d90c3dc819092f6be4888851477 |
completed | March 7, 2026, 4:08 p.m. |
Created at: March 1, 2026, 7:43 p.m.