Triple
T14007913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla de Pascua Airport |
E336997
|
entity |
| Predicate | supportsInternationalTravel |
P107091
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Isla de Pascua Airport, supportsInternationalTravel, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsInternationalTravel Context triple: [Isla de Pascua Airport, supportsInternationalTravel, true]
-
A.
offersInternationalTravel
chosen
Indicates that an entity provides or makes available travel services or opportunities that involve crossing national borders.
-
B.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
-
C.
hasInternationalStatus
Indicates that an entity holds a recognized status, role, or standing at the international level rather than being limited to a single country or local jurisdiction.
-
D.
hasNotableTraveler
Indicates that an entity is associated with a traveler who is considered notable or significant in some recognized way.
-
E.
supportsNonSchengenFlights
Indicates that the subject facility or service is capable of handling or accommodating flights that operate outside the Schengen Area.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed44f90819099ad08c09c066b56 |
completed | April 14, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.