Triple
T7593144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raouché district |
E179788
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Rawcheh
Rawcheh is a coastal district in Beirut, Lebanon, best known for its seaside promenade and the iconic Pigeon Rocks landmark.
|
E674690
|
NE FINISHED |
How this triple was built (4 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: Rawcheh | Statement: [Raouché district, alternativeName, Rawcheh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rawcheh Context triple: [Raouché district, alternativeName, Rawcheh]
-
A.
Rawannawi
Rawannawi is the main settlement and administrative center of Marakei Island in the Republic of Kiribati.
-
B.
Rawda
Rawda is a residential suburb and neighborhood located within Kuwait City in the Al Asimah Governorate.
-
C.
Bekwarra
Bekwarra is a notable town and local government area in southeastern Nigeria, recognized for its predominantly agrarian community and cultural heritage within Cross River State.
-
D.
Kebechet
Kebechet is an ancient Egyptian goddess associated with purification and cooling water, particularly in the context of mummification and the afterlife.
-
E.
Rasor
Rasor is a comic servant character in John Vanbrugh’s Restoration comedy play "The Provoked Wife."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rawcheh Triple: [Raouché district, alternativeName, Rawcheh]
Generated description
Rawcheh is a coastal district in Beirut, Lebanon, best known for its seaside promenade and the iconic Pigeon Rocks landmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rawcheh Target entity description: Rawcheh is a coastal district in Beirut, Lebanon, best known for its seaside promenade and the iconic Pigeon Rocks landmark.
-
A.
Rawannawi
Rawannawi is the main settlement and administrative center of Marakei Island in the Republic of Kiribati.
-
B.
Rawda
Rawda is a residential suburb and neighborhood located within Kuwait City in the Al Asimah Governorate.
-
C.
Bekwarra
Bekwarra is a notable town and local government area in southeastern Nigeria, recognized for its predominantly agrarian community and cultural heritage within Cross River State.
-
D.
Kebechet
Kebechet is an ancient Egyptian goddess associated with purification and cooling water, particularly in the context of mummification and the afterlife.
-
E.
Rasor
Rasor is a comic servant character in John Vanbrugh’s Restoration comedy play "The Provoked Wife."
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69c86223bfec8190b47f840e39c9a51a |
completed | March 28, 2026, 11:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c862bb95e881909a60608a5279238d |
completed | March 28, 2026, 11:22 p.m. |
Created at: March 27, 2026, 3:53 p.m.