Triple
T31842689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | أحمد قريع |
E812848
|
entity |
| Predicate | منصب حكومي |
P19321
|
FINISHED |
| Object | رئيس حكومة الطوارئ الفلسطينية 2003 |
—
|
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: رئيس حكومة الطوارئ الفلسطينية 2003 | Statement: [أحمد قريع, منصب حكومي, رئيس حكومة الطوارئ الفلسطينية 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: منصب حكومي Context triple: [أحمد قريع, منصب حكومي, رئيس حكومة الطوارئ الفلسطينية 2003]
-
A.
U.S.GovernmentPosition
Indicates that an entity holds, held, or is associated with an official position or office within the United States government.
-
B.
governmentalRole
chosen
Indicates that an entity holds or is assigned a specific official position, function, or authority within a government or public administration structure.
-
C.
typeOfOffice
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
D.
governmentalRank
Indicates the official hierarchical level or position an entity holds within a governmental or public administration structure.
-
E.
typeOfMinister
Indicates the specific governmental or religious office or role that a particular minister holds.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6affd8080819087c66792146c4056 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:49 p.m.