Triple
T7358708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyer |
E169690
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Carita
Carita is a coastal town and beach resort area on the western coast of Java, Indonesia, known for its seaside tourism and views toward the Sunda Strait.
|
E658858
|
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: Carita | Statement: [Anyer, near, Carita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carita Context triple: [Anyer, near, Carita]
-
A.
Silvana
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
-
B.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
C.
Caliari
Caliari is the Italian family name of the Renaissance painter Paolo Veronese and his artistic relatives from Verona.
-
D.
Barbeya
Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
-
E.
Otumba
Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
- 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: Carita Triple: [Anyer, near, Carita]
Generated description
Carita is a coastal town and beach resort area on the western coast of Java, Indonesia, known for its seaside tourism and views toward the Sunda Strait.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carita Target entity description: Carita is a coastal town and beach resort area on the western coast of Java, Indonesia, known for its seaside tourism and views toward the Sunda Strait.
-
A.
Silvana
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
-
B.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
C.
Caliari
Caliari is the Italian family name of the Renaissance painter Paolo Veronese and his artistic relatives from Verona.
-
D.
Barbeya
Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
-
E.
Otumba
Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13db3488190ad35725c4fc60ffe |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faaa8ec8819093bf6b4562472288 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fc5d7e5081908c9f7389f4dea1e0 |
completed | March 28, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb5f7f0819081e70f8809bb34ae |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:06 p.m.