Triple
T13978125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgrade Conference |
E336237
|
entity |
| Predicate | numberOfObserverCountries |
P3809
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Belgrade Conference, numberOfObserverCountries, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfObserverCountries Context triple: [Belgrade Conference, numberOfObserverCountries, 3]
-
A.
internationalObservers
Indicates that the entities serve as neutral third parties monitoring or overseeing an event, process, or situation across national boundaries.
-
B.
numberOfParticipatingNations
Indicates the total count of nations that take part in a specified event, activity, or context.
-
C.
countryObservedIn
Indicates that an entity has been observed or recorded within the geographical boundaries of a specified country.
-
D.
hasNumberOfCountries
chosen
Indicates the relationship that specifies how many countries are associated with or contained within a given entity.
-
E.
internationalObservation
Indicates that an entity monitors, assesses, or records events or conditions across national borders, often as part of a global or multinational oversight or data-gathering effort.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e9fc7248190a9f26e253286ac3c |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.