Triple
T7593157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صخور الروشة |
E179789
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | ساحل بيروت |
E28919
|
NE 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: ساحل بيروت | Statement: [صخور الروشة, partOf, ساحل بيروت]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ساحل بيروت Context triple: [صخور الروشة, partOf, ساحل بيروت]
-
A.
Corniche Beirut
chosen
Corniche Beirut is a popular seaside promenade in Beirut known for its Mediterranean views, palm-lined walkway, and vibrant social atmosphere.
-
B.
Port of Beirut
The Port of Beirut is Lebanon’s principal maritime gateway and commercial hub on the Mediterranean Sea, historically central to the country’s trade and economy.
-
C.
Jounieh
Jounieh is a coastal city in Lebanon known for its seaside resorts, vibrant nightlife, and proximity to the historic pilgrimage site of Harissa.
-
D.
Nabatieh, Lebanon
Nabatieh is a predominantly Shia Muslim city in southern Lebanon known as a regional political and commercial center and for its major Ashura commemorations.
-
E.
Syrian coast
The Syrian coast is a historically rich eastern Mediterranean shoreline region encompassing ancient port cities and cultural centers such as Ugarit.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9b92c348190b547f0aacfb8d6be |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86197fe0881908307a411cabdca7f |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:53 p.m.