Triple
T16536214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cibin River |
E401696
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Cibin
Cibin is a river in central Romania that flows through Sibiu County before joining the Olt River.
|
E1217890
|
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: Cibin | Statement: [Cibin River, hasNameInLanguage, Cibin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cibin Context triple: [Cibin River, hasNameInLanguage, Cibin]
-
A.
Cibadak
Cibadak is a town in Indonesia’s Banten Province, situated within Lebak Regency on the island of Java.
-
B.
Cibubur
Cibubur is a suburban area on the eastern outskirts of Jakarta known for its residential complexes, recreational parks, and the large Cibubur camping ground.
-
C.
Cibao
Cibao is a culturally and economically significant region in the northern Dominican Republic, known for its fertile valleys, agricultural production, and vibrant urban centers like Santiago.
-
D.
Cindau
Cindau is an alternative name for the Ndau language, a Bantu language spoken primarily in Mozambique and Zimbabwe.
-
E.
Caibiran
Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
- 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: Cibin Triple: [Cibin River, hasNameInLanguage, Cibin]
Generated description
Cibin is a river in central Romania that flows through Sibiu County before joining the Olt River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cibin Target entity description: Cibin is a river in central Romania that flows through Sibiu County before joining the Olt River.
-
A.
Cibadak
Cibadak is a town in Indonesia’s Banten Province, situated within Lebak Regency on the island of Java.
-
B.
Cibubur
Cibubur is a suburban area on the eastern outskirts of Jakarta known for its residential complexes, recreational parks, and the large Cibubur camping ground.
-
C.
Cibao
Cibao is a culturally and economically significant region in the northern Dominican Republic, known for its fertile valleys, agricultural production, and vibrant urban centers like Santiago.
-
D.
Cindau
Cindau is an alternative name for the Ndau language, a Bantu language spoken primarily in Mozambique and Zimbabwe.
-
E.
Caibiran
Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34558ec448190a6dcc15d62d1889c |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006094dee481908757b84c10d0dc19 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0060eca9fc81908f376cd2f7219bcd |
completed | May 10, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00622f44ec8190a7d66c7882ae28b2 |
completed | May 10, 2026, 10:47 a.m. |
Created at: April 10, 2026, 5:15 a.m.