Triple
T13800386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book Fair in Gothenburg |
E331622
|
entity |
| Predicate | drawsInternationalParticipants |
P111508
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Book Fair in Gothenburg, drawsInternationalParticipants, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawsInternationalParticipants Context triple: [Book Fair in Gothenburg, drawsInternationalParticipants, true]
-
A.
countryParticipation
Indicates that a country takes part in, is involved with, or contributes to a particular event, activity, agreement, or organization.
-
B.
representedInternationallyBy
Indicates that one entity serves as the official international representative or agent acting on behalf of another entity in foreign or global contexts.
-
C.
hasParticipantNationality
Indicates that a participant in an event, activity, or relation has a specific nationality.
-
D.
hasInternationalCommission
Indicates that an entity is associated with, overseen by, or participates in an international commission.
-
E.
producedInternationalPlayers
Indicates that an entity has developed or trained players who went on to represent their country at the international level.
- F. None of above. chosen
Provenance (4 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_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:11 p.m.