Triple
T25456758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صاحب رفادة الحاج |
E637933
|
entity |
| Predicate | هدفه |
P6636
|
FINISHED |
| Object | تأمين الطعام والشراب للحجاج |
—
|
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: تأمين الطعام والشراب للحجاج | Statement: [صاحب رفادة الحاج, هدفه, تأمين الطعام والشراب للحجاج]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: هدفه Context triple: [صاحب رفادة الحاج, هدفه, تأمين الطعام والشراب للحجاج]
-
A.
goalIn
Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
-
B.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
C.
goals
chosen
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
D.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
E.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72756748190aa315cc00882a798 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:10 p.m.