Triple
T26625107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Mitch |
E668319
|
entity |
| Predicate | worstAffectedCountry |
P8692
|
FINISHED |
| Object | Honduras |
—
|
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: Honduras | Statement: [Hurricane Mitch, worstAffectedCountry, Honduras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worstAffectedCountry Context triple: [Hurricane Mitch, worstAffectedCountry, Honduras]
-
A.
affectedCountry
chosen
Indicates that a particular country is impacted or influenced by an event, action, or condition.
-
B.
countryMostVictimsFrom
Indicates the country from which the largest number of victims in a given event, situation, or context originate.
-
C.
hardestHitCountryByEarlySpread
Indicates the country that was most severely affected during the initial phase of a disease or phenomenon’s spread.
-
D.
countryInWorld
Indicates that a country is located within and is a member of the world as a whole.
-
E.
countryAssessed
Indicates that a particular country has been evaluated or examined according to a specified assessment, criteria, 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_69f615e831d88190bbc27081f6ce15b2 |
completed | May 2, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:22 a.m.