Triple
T17727435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blériot-SPAD S.33 |
E442498
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | CIDNA |
—
|
NE NERFINISHED |
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: CIDNA | Statement: [Blériot-SPAD S.33, operator, CIDNA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CIDNA Context triple: [Blériot-SPAD S.33, operator, CIDNA]
-
A.
CIDNA
chosen
CIDNA was a pioneering French airline of the early 20th century that operated international routes in Europe before being absorbed into Air France.
-
B.
CID
The CID was a high-level British government body responsible for coordinating defense and military policy across the Empire in the early 20th century.
-
C.
CID
CID is the abbreviated name for the Criminal Investigations Division of the Metropolitan Police Department, responsible for conducting in-depth investigations into serious crimes.
-
D.
CID
CID is a common abbreviation for Seattle’s Chinatown–International District, a historic neighborhood known for its Asian American communities, businesses, and cultural institutions.
-
E.
CID
CID is the three-letter IATA airport code for The Eastern Iowa Airport serving the Cedar Rapids area in Iowa, United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e3cb708190b47456ad2008a65e |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:07 a.m.