Triple
T6691040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamra |
E152626
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ras Beirut |
E141864
|
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: Ras Beirut | Statement: [Hamra, partOf, Ras Beirut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ras Beirut Context triple: [Hamra, partOf, Ras Beirut]
-
A.
Ras Beirut
chosen
Ras Beirut is a vibrant, historically cosmopolitan coastal district of Beirut known for its cultural diversity, educational institutions, and lively urban atmosphere.
-
B.
Al-Darb
Al-Darb is a town in southwestern Saudi Arabia located within the coastal Jazan Region along the Red Sea.
-
C.
Kel Ajjer
Kel Ajjer is a prominent Tuareg confederation traditionally inhabiting the central Sahara region spanning parts of present-day Algeria and Libya.
-
D.
Ras El Hekma
Ras El Hekma is a prominent Mediterranean coastal area in Egypt known for its clear turquoise waters, white sandy beaches, and growing status as a luxury tourism and real estate destination.
-
E.
Ras Dashan
Ras Dashan is the highest mountain in Ethiopia and part of the Simien Mountains, known for its dramatic highland scenery and unique wildlife.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b15276208190b4c0e90ca337d2b4 |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b70ef88190b605c3c70a941cdb |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.