Triple
T3381670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Tegel Airport |
E71199
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object | EDDT |
E71199
|
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: EDDT | Statement: [Berlin Tegel Airport, ICAOCode, EDDT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EDDT Context triple: [Berlin Tegel Airport, ICAOCode, EDDT]
-
A.
EDDT
chosen
EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
B.
EDDH
EDDH is the ICAO airport code for Hamburg Airport, a major international airport in northern Germany.
-
C.
EDDI
EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
-
D.
DDE
DDE is the commonly used abbreviation for Dundee East, a parliamentary constituency in Scotland.
-
E.
DDC
DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e9af608190bfb228ef99a87bb7 |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3344f9b448190aab1038ead60fa48 |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:14 p.m.