Triple
T17746051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egvekinot Airport |
E442991
|
entity |
| Predicate | hasOperationalChallenges |
P54463
|
FINISHED |
| Object | severe weather |
—
|
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: severe weather | Statement: [Egvekinot Airport, hasOperationalChallenges, severe weather]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOperationalChallenges Context triple: [Egvekinot Airport, hasOperationalChallenges, severe weather]
-
A.
operationalChallenge
chosen
Indicates that an entity faces difficulties, obstacles, or inefficiencies in carrying out its regular operations or processes.
-
B.
facedChallenges
Indicates that an entity has encountered and had to deal with difficulties, obstacles, or adverse conditions.
-
C.
developmentChallenges
Indicates difficulties, obstacles, or constraints that hinder or complicate the process of developing or improving something.
-
D.
currentChallenges
Indicates the difficulties or obstacles an entity is presently facing or dealing with.
-
E.
hasEconomicChallenge
Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad26940819090696c2cb86fd606 |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:09 a.m.