Triple
T2572740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ex |
E57700
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | CNE |
E57699
|
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: CNE | Statement: [The Ex, alsoKnownAs, CNE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNE Context triple: [The Ex, alsoKnownAs, CNE]
-
A.
CNE
chosen
CNE is a large annual fair and exhibition held in Toronto, Canada, featuring rides, games, concerts, food, and cultural events.
-
B.
CNE
CNE is Chile’s National Energy Commission, the government body responsible for designing, coordinating, and regulating the country’s energy policy and markets.
-
C.
NCE
NCE is the three-letter IATA airport code for Nice Côte d’Azur Airport, the main international airport serving Nice and the French Riviera.
-
D.
NECC
NECC is a public community college in northeastern Massachusetts offering associate degrees, certificates, and transfer programs to local and regional students.
-
E.
CNP
CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3853c848190970e8a2da16d726d |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83aefb00819095a6ab26f9bb61d9 |
completed | March 10, 2026, 2:36 a.m. |
Created at: March 6, 2026, 9:48 p.m.