Triple
T21000120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Airport, Fornebu |
E517261
|
entity |
| Predicate | wasSubjectOfDebate |
P15176
|
FINISHED |
| Object | capacity constraints |
—
|
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: capacity constraints | Statement: [Oslo Airport, Fornebu, wasSubjectOfDebate, capacity constraints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasSubjectOfDebate Context triple: [Oslo Airport, Fornebu, wasSubjectOfDebate, capacity constraints]
-
A.
debatedAs
Indicates that one entity is discussed or argued over in terms of being equivalent to, or serving in the role of, another entity within a debate or comparative argument.
-
B.
debatedBetween
Indicates a situation in which two or more parties engage in a discussion or argument over differing views about a particular issue or topic.
-
C.
hasSourceOfDebate
Indicates that something is the origin or cause of an ongoing disagreement, controversy, or dispute between parties.
-
D.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
-
E.
hasLongTermDebateOn
chosen
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc24a6dc8190a6bf81cf1d9590c0 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:52 p.m.