Triple
T61583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Palestine |
E1223
|
entity |
| Predicate | UNStatus |
P1049
|
FINISHED |
| Object | non-member observer state |
—
|
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: non-member observer state | Statement: [State of Palestine, UNStatus, non-member observer state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNStatus Context triple: [State of Palestine, UNStatus, non-member observer state]
-
A.
hasUNStatus
chosen
Indicates that an entity holds a particular formal status or recognition within the United Nations system.
-
B.
UNMemberState
Indicates that a country is a recognized member state of the United Nations.
-
C.
hasUNOrgan
Indicates that an entity is a member of, affiliated with, or otherwise formally associated with a specified United Nations body or organ.
-
D.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
E.
UNRegion
Indicates that an entity belongs to, or is associated with, a specific United Nations–defined geographic region.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a251f74b0881909ad89127b8171277 |
completed | Feb. 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69a24ea242c8819086fe00bf01e6523e |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.