Triple
T26625108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Mitch |
E668319
|
entity |
| Predicate | secondWorstAffectedCountry |
P8692
|
FINISHED |
| Object | Nicaragua |
—
|
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: Nicaragua | Statement: [Hurricane Mitch, secondWorstAffectedCountry, Nicaragua]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondWorstAffectedCountry Context triple: [Hurricane Mitch, secondWorstAffectedCountry, Nicaragua]
-
A.
secondLargestPopulationCountry
Indicates that the subject country is the one with the second-largest population among a specified set or globally.
-
B.
affectedCountry
chosen
Indicates that a particular country is impacted or influenced by an event, action, or condition.
-
C.
secondMedalCountry
Indicates the country that received the second-place medal in a given event or competition.
-
D.
secondLargestSpeakerCountry
Indicates that a country is the one with the second-highest number of speakers of a given language (or set of languages) among all countries.
-
E.
secondPhaseHostCountry
Indicates that a country serves as the host location for the second phase of a multi-phase event, program, or process.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 27, 2026, 2:22 a.m.