Triple
T20263595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daraa Governorate |
E498906
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Jasim |
—
|
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: Jasim | Statement: [Daraa Governorate, hasCity, Jasim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jasim Context triple: [Daraa Governorate, hasCity, Jasim]
-
A.
Jassim
chosen
Jassim is a masculine given name of Arabic origin, commonly used in the Gulf region and associated with several notable historical and contemporary figures.
-
B.
Jalil
Jalil is a masculine given name of Arabic origin meaning "great," "exalted," or "majestic."
-
C.
Jawad
Jawad is a masculine given name of Arabic origin commonly used across the Middle East and Muslim-majority regions.
-
D.
Qasim
Qasim is a central character in Naguib Mahfouz’s novel "Children of Gebelawi," representing a modern, socially conscious figure modeled on the Prophet Muhammad within the book’s allegorical retelling of religious history.
-
E.
Qasim
Qasim is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ccff008190920b418f51dc4311 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.