Triple
T17590428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | البيضاء |
E428431
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | مدينة المرج |
—
|
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: مدينة المرج | Statement: [البيضاء, near, مدينة المرج]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: مدينة المرج Context triple: [البيضاء, near, مدينة المرج]
-
A.
Yasmine City
Yasmine City is a modern seaside resort area in Hammamet, Tunisia, known for its hotels, marina, beaches, and tourist attractions.
-
B.
Mosta
Mosta is a town in central Malta best known for its impressive Rotunda church, which has one of the largest unsupported domes in the world.
-
C.
المرج
chosen
المرج هي مدينة ليبية تقع في شمال شرق البلاد وتعد من المراكز الحضرية المهمة في منطقة الجبل الأخضر.
-
D.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
-
E.
Al Markh
Al Markh is a village in Bahrain located within the country's Northern Governorate.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e6e3888190b73a5b6d7e8c0a55 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.