Triple
T6470197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Institute of Indian Languages |
E142327
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | CIIL |
E596322
|
NE FINISHED |
How this triple was built (2 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: CIIL | Statement: [Central Institute of Indian Languages, hasAbbreviation, CIIL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CIIL Context triple: [Central Institute of Indian Languages, hasAbbreviation, CIIL]
-
A.
CIIL
chosen
CIIL is a premier Indian government institute dedicated to the research, development, and promotion of the country’s diverse languages.
-
B.
CCIPS
CCIPS is a specialized section of the U.S. Department of Justice that investigates and prosecutes computer crime and intellectual property offenses.
-
C.
CTIIC
CTIIC is a U.S. government center responsible for integrating, analyzing, and coordinating cyber threat intelligence across federal agencies.
-
D.
CII
CII is the commonly used abbreviation for the Low Center for Industrial Innovation, an organization focused on advancing industrial research and technological development.
-
E.
IITM
IITM is a premier public engineering and research university located in Chennai, India, renowned for its cutting-edge technology programs and strong emphasis on innovation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a2e896481908ed004e3b0a33121 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fd1db288190b00ba6d7f3aae925 |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:50 p.m.