Triple
T525273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDG |
E10902
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | CDG |
E10902
|
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: CDG | Statement: [CDG, IATACode, CDG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDG Context triple: [CDG, IATACode, CDG]
-
A.
CDG
chosen
CDG is the IATA airport code for Charles de Gaulle Airport, the main international airport serving Paris and one of Europe’s busiest air hubs.
-
B.
DGC
DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
-
C.
CGF
CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
-
D.
DGS
DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
-
E.
COG
COG is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of the Congo.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b7f448819087e5e7f3b37d7142 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b23f97448190bd85a8c85d338039 |
completed | March 1, 2026, 9:40 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.