Triple
T18436756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clean Development Mechanism |
E450411
|
entity |
| Predicate | hostCountries |
P102545
|
FINISHED |
| Object | developing 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: developing countries | Statement: [Clean Development Mechanism, hostCountries, developing countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCountries Context triple: [Clean Development Mechanism, hostCountries, developing countries]
-
A.
eventHostCountries
chosen
Indicates that the subject countries serve as hosts for a particular event or set of events.
-
B.
countryOfVenue
Indicates the country in which the referenced venue is geographically located.
-
C.
hostedByCountry
Indicates that an event or activity is organized, held, or officially hosted within the jurisdiction of a specific country.
-
D.
notableHostCountries
Indicates that certain countries are recognized as prominent or significant locations for hosting a particular event, activity, or entity.
-
E.
lastHostCountry
Indicates the country that most recently hosted a particular event, activity, or entity.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0cd30c8190b8417c264e60d3a5 |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:29 a.m.