Triple
T33862533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary-General of the United Nations Conference on the Human Environment |
E867960
|
entity |
| Predicate | hasCountryOfEvent |
P153335
|
FINISHED |
| Object | Sweden |
E7489
|
NE 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: Sweden | Statement: [Secretary-General of the United Nations Conference on the Human Environment, hasCountryOfEvent, Sweden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryOfEvent Context triple: [Secretary-General of the United Nations Conference on the Human Environment, hasCountryOfEvent, Sweden]
-
A.
refersToEventCountry
Indicates that one entity references or is associated with the country in which a particular event takes place.
-
B.
locatedInCountryDuringEvent
Indicates that an entity was situated within a specific country for the duration or at the time of a particular event.
-
C.
majorEventCountry
chosen
Indicates that a major event took place in, or is primarily associated with, a particular country.
-
D.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
E.
countryOfFirstEvent
Indicates the country in which the first event in a sequence or series took place.
- F. None of above.
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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a367619fc288190a6c89cf111d01b5f |
completed | June 20, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:47 a.m.