Triple
T515729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebanon |
E10701
|
entity |
| Predicate | joinedUnitedNations |
P7968
|
FINISHED |
| Object | 1945-10-24 |
—
|
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: 1945-10-24 | Statement: [Lebanon, joinedUnitedNations, 1945-10-24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedUnitedNations Context triple: [Lebanon, joinedUnitedNations, 1945-10-24]
-
A.
joinedUNTogetherWith
Indicates that one entity became a member of or affiliated with the University of North Texas together with another entity, at the same time or as part of the same event.
-
B.
dateOfUNMembership
chosen
Indicates the specific date on which an entity officially became a member of the United Nations.
-
C.
UNMemberState
Indicates that a country is a recognized member state of the United Nations.
-
D.
permanentUNSCMember
Indicates that an entity holds permanent membership status on the United Nations Security Council, with the associated enduring rights and responsibilities.
-
E.
hasUNStatus
Indicates that an entity holds a particular formal status or recognition within the United Nations system.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1836b688190a60cc901a8724159 |
completed | Feb. 28, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69a2f0151e8c81909a82b58ac0515eba |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.