Triple
T3609259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coimbra Airport (aerodrome) |
E76443
|
entity |
| Predicate | hasRegularCommercialAirlineService |
P49167
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Coimbra Airport (aerodrome), hasRegularCommercialAirlineService, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegularCommercialAirlineService Context triple: [Coimbra Airport (aerodrome), hasRegularCommercialAirlineService, no]
-
A.
hasAirlines
Indicates that one entity (such as an airport, city, or country) is served by or associated with one or more airline operators.
-
B.
servesAirlineType
Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
-
C.
servesAirline
Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
-
D.
isCommercialServiceAirport
chosen
Indicates that an airport is designated and operated as a commercial service facility offering scheduled passenger or cargo air transport services.
-
E.
hasDomesticFlights
Indicates that an airline or airport operates flights within the same country, connecting domestic destinations.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22a3cf081908c20b6fb55be0db2 |
completed | March 8, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.