Triple
T9761151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNIT |
E236672
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CNIT |
E236672
|
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: CNIT | Statement: [CNIT, abbreviation, CNIT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNIT Context triple: [CNIT, abbreviation, CNIT]
-
A.
CNIT
chosen
CNIT is a prominent modernist convention and exhibition center in the La Défense business district near Paris, known for its distinctive vaulted concrete architecture.
-
B.
CNI
The CNI (Central Nacional de Informaciones) was Chile’s notorious intelligence and secret police agency under Augusto Pinochet, responsible for widespread political repression, surveillance, and human rights abuses.
-
C.
CNI
CNI is Spain’s main intelligence and security agency responsible for gathering and analyzing information to protect national interests.
-
D.
CNI
CNI is the stock ticker symbol for Canadian National Railway, a major North American freight railway company listed on the New York Stock Exchange and Toronto Stock Exchange.
-
E.
CNI
CNI (Container Network Interface) is a specification and set of libraries for configuring networking in Linux containers, widely used in cloud-native and Kubernetes environments.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04ad9008190badfcebe2072ab83 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bce1c5908190a89815fa2b7d90c8 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:25 p.m.