Triple
T31309705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | وزارة الخارجية والمغتربين (لبنان) |
E798428
|
entity |
| Predicate | تتعامل_مع |
P97828
|
FINISHED |
| Object | الأمم المتحدة |
—
|
NE NERFINISHED |
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: الأمم المتحدة | Statement: [وزارة الخارجية والمغتربين (لبنان), تتعامل_مع, الأمم المتحدة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تتعامل_مع Context triple: [وزارة الخارجية والمغتربين (لبنان), تتعامل_مع, الأمم المتحدة]
-
A.
treatmentOf
Indicates a relationship where one entity administers, provides, or is responsible for a therapeutic intervention directed toward another entity (typically a patient or condition).
-
B.
interactionWithHumans
Indicates a relationship where an entity engages in some form of contact, communication, or mutual influence with humans.
-
C.
workWith
chosen
Indicates that one entity collaborates or engages in work-related activities together with another entity.
-
D.
with
Indicates a general associative relationship in which one entity is accompanied by, connected to, or occurring together with another entity.
-
E.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:15 p.m.