Triple
T23889512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بنسيون ميرامار |
E600721
|
entity |
| Predicate | دوره_في_العمل |
P153949
|
FINISHED |
| Object | المكان الرئيسي للأحداث |
—
|
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: المكان الرئيسي للأحداث | Statement: [بنسيون ميرامار, دوره_في_العمل, المكان الرئيسي للأحداث]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: دوره_في_العمل Context triple: [بنسيون ميرامار, دوره_في_العمل, المكان الرئيسي للأحداث]
-
A.
workFor
Indicates that one entity is employed by or performs work under the authority or direction of another entity.
-
B.
worksDuring
Indicates that an entity performs work or is on duty throughout a specified time period or schedule.
-
C.
involvedInWork
Indicates that an entity participates in, contributes to, or is otherwise engaged in a particular work, project, or activity.
-
D.
givenForWorkIn
Indicates that something (such as payment, benefit, or item) is provided to an entity specifically in exchange for or in connection with work performed in a particular role, job, or context.
-
E.
showsWorkOf
Indicates that one entity presents, exhibits, or displays the work or creations produced by another entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:25 p.m.