Triple
T7813650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 5 (Berlin Brandenburg Airport) |
E180746
|
entity |
| Predicate | servedAirlinesType |
P9478
|
FINISHED |
| Object | low-cost carriers |
—
|
LITERAL 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: low-cost carriers | Statement: [Terminal 5 (Berlin Brandenburg Airport), servedAirlinesType, low-cost carriers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAirlinesType Context triple: [Terminal 5 (Berlin Brandenburg Airport), servedAirlinesType, low-cost carriers]
-
A.
servesAirlineType
chosen
Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
-
B.
servesAirline
Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
-
C.
servesAirlinesFrom
Indicates that a location or facility provides service or operations for flights belonging to specific airlines originating from that place.
-
D.
hasAirlines
Indicates that one entity (such as an airport, city, or country) is served by or associated with one or more airline operators.
-
E.
associatedAirlineServiceType
Indicates the specific type or category of airline service that is linked or related to another entity or activity.
- F. None of above.
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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78f3d6481909841d64117f657e1 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:38 p.m.