Triple
T5636429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ain El Mreisseh |
E147959
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Beirut waterfront |
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: Beirut waterfront | Statement: [Ain El Mreisseh, partOf, Beirut waterfront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beirut waterfront Context triple: [Ain El Mreisseh, partOf, Beirut waterfront]
-
A.
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.
-
B.
Corniche Beirut
chosen
Corniche Beirut is a popular seaside promenade in Beirut known for its Mediterranean views, palm-lined walkway, and vibrant social atmosphere.
-
C.
Beirut
Beirut is the capital and largest city of Lebanon, known as a historic cultural, commercial, and financial hub of the Eastern Mediterranean.
-
D.
Jounieh
Jounieh is a coastal city in Lebanon known for its seaside resorts, vibrant nightlife, and proximity to the historic pilgrimage site of Harissa.
-
E.
Beirut Souks
Beirut Souks is a major commercial district in central Beirut, combining modern architecture with reconstructed traditional market streets and hosting a wide range of shops, restaurants, and entertainment venues.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022809f708190ab859aa446683b10 |
completed | March 22, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a1666d88190af4c1890247f897d |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:41 p.m.