Triple
T23889524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بنسيون ميرامار |
E600721
|
entity |
| Predicate | يستقبل |
P9965
|
FINISHED |
| Object | شخصيات ريفية مهاجرة إلى المدينة |
—
|
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: شخصيات ريفية مهاجرة إلى المدينة | Statement: [بنسيون ميرامار, يستقبل, شخصيات ريفية مهاجرة إلى المدينة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يستقبل Context triple: [بنسيون ميرامار, يستقبل, شخصيات ريفية مهاجرة إلى المدينة]
-
A.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
B.
initialReception
Indicates the nature or quality of the first response or reaction something receives when it is introduced or presented.
-
C.
reception
chosen
Indicates the act of receiving or welcoming someone or something, often marking the initial acknowledgment or acceptance in an interaction or process.
-
D.
attendsTo
Indicates that one entity directs care, attention, or service toward another entity or task.
-
E.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cd029be48190b9319e59bf5d3a4d |
completed | April 29, 2026, 9:18 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.