Triple
T6211104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDG Terminal 2 |
E138870
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Terminal 2F |
E68666
|
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: Terminal 2F | Statement: [CDG Terminal 2, hasPart, Terminal 2F]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 2F Context triple: [CDG Terminal 2, hasPart, Terminal 2F]
-
A.
Terminal 2F
chosen
Terminal 2F is one of the passenger terminals at Paris Charles de Gaulle Airport, primarily serving international flights with dedicated check-in, security, and boarding facilities.
-
B.
Terminal 2C
Terminal 2C is one of the passenger terminals at Paris Charles de Gaulle Airport, serving various international and European flights with check-in, boarding, and arrival facilities.
-
C.
Terminal 2A
Terminal 2A is one of the main passenger terminals at Budapest Ferenc Liszt International Airport, serving a significant share of its commercial airline traffic.
-
D.
Terminal 2A
Terminal 2A is one of the passenger terminals at Paris Charles de Gaulle Airport, serving various international and European flights with check-in, boarding, and arrival facilities.
-
E.
Terminal 2B
Terminal 2B is one of the passenger terminals at Paris Charles de Gaulle Airport, serving various international and European flights with check-in, boarding, and arrival facilities.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062896f3881909f264bb45badc5d0 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518ff27848190817ad516cf62c619 |
completed | March 26, 2026, 11:31 a.m. |
Created at: March 22, 2026, 4:21 p.m.