Triple
T24669380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icelandair |
E610781
|
entity |
| Predicate | offersStopoverProgramIn |
P178
|
FINISHED |
| Object | Iceland |
—
|
NE NERFINISHED |
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: Iceland | Statement: [Icelandair, offersStopoverProgramIn, Iceland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersStopoverProgramIn Context triple: [Icelandair, offersStopoverProgramIn, Iceland]
-
A.
offersProgram
chosen
Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
-
B.
offersGrantsProgram
Indicates that an entity provides or makes available a grants program to others.
-
C.
hasStopoverState
Indicates that an entity’s journey or process includes an intermediate stop or temporary state before reaching its final destination or outcome.
-
D.
offersProgramComponent
Indicates that an entity provides or makes available a specific program component as part of its offerings.
-
E.
offersProgramsIn
Indicates that an institution or provider makes educational or training programs available in a particular field, subject, or 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 2:41 a.m.