Triple
T17376015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations–African Union Mission in Darfur |
E422439
|
entity |
| Predicate | policeContributingCountriesCount |
P3809
|
FINISHED |
| Object | more than 20 |
—
|
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: more than 20 | Statement: [United Nations–African Union Mission in Darfur, policeContributingCountriesCount, more than 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeContributingCountriesCount Context triple: [United Nations–African Union Mission in Darfur, policeContributingCountriesCount, more than 20]
-
A.
countryRepresentedCount
Indicates the number of distinct countries that are represented or associated with a given entity.
-
B.
hasNumberOfCountries
chosen
Indicates the relationship that specifies how many countries are associated with or contained within a given entity.
-
C.
countryMonitored
Indicates that one country is being observed, supervised, or kept under surveillance by another entity or authority.
-
D.
hasContributingCountry
Indicates that a country has contributed resources, support, or participation to the subject entity or activity.
-
E.
countryResponsible
Indicates that a specific country bears responsibility for an action, event, obligation, or outcome related to another 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6c864481908507290282cc6d25 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.