Triple
T29361361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethiopia and Eritrea |
E744598
|
entity |
| Predicate | EthiopiaUNMembership |
P644
|
FINISHED |
| Object | member state of the United Nations |
—
|
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: member state of the United Nations | Statement: [Ethiopia and Eritrea, EthiopiaUNMembership, member state of the United Nations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EthiopiaUNMembership Context triple: [Ethiopia and Eritrea, EthiopiaUNMembership, member state of the United Nations]
-
A.
UNMemberState
chosen
Indicates that a country is a recognized member state of the United Nations.
-
B.
UNMemberStateFlag
Indicates that an entity serves as the official national flag of a member state of the United Nations.
-
C.
dateOfUNMembership
Indicates the specific date on which an entity officially became a member of the United Nations.
-
D.
admittedToAfricanUnion
Indicates that an entity (typically a country) has been formally accepted as a member state of the African Union.
-
E.
shareUNMembership
Indicates that the entities are both member states of the United Nations at the same time.
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 2:18 p.m.