Triple
T21661786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beirut Governorate |
E534610
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Remeil
Remeil is a residential and commercial district in eastern Beirut, Lebanon, known for its mix of historic neighborhoods, churches, and vibrant urban life.
|
E1495642
|
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: Remeil | Statement: [Beirut Governorate, contains, Remeil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Remeil Context triple: [Beirut Governorate, contains, Remeil]
-
A.
Remm
Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
-
B.
Rymez
Rymez is a British music producer and songwriter best known for crafting chart-topping UK urban and pop hits.
-
C.
Ramel
Ramel is a Swedish surname most notably associated with the entertainer and composer Povel Ramel.
-
D.
Carema
Carema is a small Italian municipality in the Piedmont region, renowned for its terraced vineyards and production of Nebbiolo-based Carema DOC wine.
-
E.
Leme
Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
- 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: Remeil Triple: [Beirut Governorate, contains, Remeil]
Generated description
Remeil is a residential and commercial district in eastern Beirut, Lebanon, known for its mix of historic neighborhoods, churches, and vibrant urban life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Remeil Target entity description: Remeil is a residential and commercial district in eastern Beirut, Lebanon, known for its mix of historic neighborhoods, churches, and vibrant urban life.
-
A.
Remm
Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
-
B.
Rymez
Rymez is a British music producer and songwriter best known for crafting chart-topping UK urban and pop hits.
-
C.
Ramel
Ramel is a Swedish surname most notably associated with the entertainer and composer Povel Ramel.
-
D.
Carema
Carema is a small Italian municipality in the Piedmont region, renowned for its terraced vineyards and production of Nebbiolo-based Carema DOC wine.
-
E.
Leme
Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0883d481908dfdc66832c34d74 |
completed | April 27, 2026, 2 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a159e783081908b025a92bfa658c9 |
completed | May 17, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_6a0a16c278188190855335930666cede |
completed | May 17, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a17a2c81481908e229ea58e61843e |
completed | May 17, 2026, 7:31 p.m. |
Created at: April 16, 2026, 6:36 p.m.