Triple
T13800382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book Fair in Gothenburg |
E331622
|
entity |
| Predicate | hasThematicGuestCountry |
P63990
|
FINISHED |
| Object | various guest of honour countries |
—
|
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: various guest of honour countries | Statement: [Book Fair in Gothenburg, hasThematicGuestCountry, various guest of honour countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThematicGuestCountry Context triple: [Book Fair in Gothenburg, hasThematicGuestCountry, various guest of honour countries]
-
A.
hasGuestCountryProgram
chosen
Indicates that an entity hosts or is associated with a program specifically designed for or involving a guest country.
-
B.
notableHostCountries
Indicates that certain countries are recognized as prominent or significant locations for hosting a particular event, activity, or entity.
-
C.
hasNotableGuest
Indicates that an entity has a guest who is distinguished, prominent, or otherwise noteworthy in some significant way.
-
D.
hostCountryPerformer
Indicates that a country serves as the host location for a given performer’s activities or performance.
-
E.
hasCountryParty
Indicates a relationship where a country is associated with a specific political party operating or recognized within it.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:11 p.m.