Triple
T5941820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karangasem Regency |
E132182
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Amed
Amed is a coastal fishing village and popular diving and snorkeling destination in eastern Bali, Indonesia, known for its black sand beaches and coral reefs.
|
E555380
|
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: Amed | Statement: [Karangasem Regency, hasLandmark, Amed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amed Context triple: [Karangasem Regency, hasLandmark, Amed]
-
A.
Amed
Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
-
B.
Ameide
Ameide is a small historic town in the Dutch province of South Holland, known for its location along the Lek River and traditional Dutch architecture.
-
C.
Amarar
Amarar is the native name used by the Beja people to refer to themselves or their community.
-
D.
Amel
Amel is a municipality in the predominantly German-speaking region of eastern Belgium, known for its rural character and location in the Ardennes.
-
E.
Amat
Amat is a surname most notably borne by Pol Amat, a renowned Spanish field hockey player considered one of the sport’s greats.
- 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: Amed Triple: [Karangasem Regency, hasLandmark, Amed]
Generated description
Amed is a coastal fishing village and popular diving and snorkeling destination in eastern Bali, Indonesia, known for its black sand beaches and coral reefs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amed Target entity description: Amed is a coastal fishing village and popular diving and snorkeling destination in eastern Bali, Indonesia, known for its black sand beaches and coral reefs.
-
A.
Amed
Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
-
B.
Ameide
Ameide is a small historic town in the Dutch province of South Holland, known for its location along the Lek River and traditional Dutch architecture.
-
C.
Amarar
Amarar is the native name used by the Beja people to refer to themselves or their community.
-
D.
Amel
Amel is a municipality in the predominantly German-speaking region of eastern Belgium, known for its rural character and location in the Ardennes.
-
E.
Amat
Amat is a surname most notably borne by Pol Amat, a renowned Spanish field hockey player considered one of the sport’s greats.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039346a7c81908d94081b666e1d79 |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c079dfe4819097598ec1f564e810 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c154b148819099d6f601e3a542aa |
completed | March 23, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c1df5b1c8190824d40d7f24c60cd |
completed | March 23, 2026, 4:30 a.m. |
Created at: March 22, 2026, 4:01 p.m.