Triple
T16368810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River God |
E397508
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Tanus
Tanus is a mythological deity associated with rivers and freshwater, often revered as a guardian of waterways and their surrounding ecosystems.
|
E1209240
|
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: Tanus | Statement: [River God, featuresCharacter, Tanus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanus Context triple: [River God, featuresCharacter, Tanus]
-
A.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
B.
Gouraya
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
-
C.
Okapa
Okapa is a rural town in Papua New Guinea known for its highland culture and production of premium coffee.
-
D.
Ratodero
Ratodero is a town in Pakistan’s Sindh province that serves as an important local center within the Larkana District.
-
E.
Mandras
Mandras is a passionate but troubled young fisherman and resistance fighter in Louis de Bernières’ novel "Captain Corelli’s Mandolin," whose experiences in World War II strain his love for Pelagia and transform his character.
- 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: Tanus Triple: [River God, featuresCharacter, Tanus]
Generated description
Tanus is a mythological deity associated with rivers and freshwater, often revered as a guardian of waterways and their surrounding ecosystems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanus Target entity description: Tanus is a mythological deity associated with rivers and freshwater, often revered as a guardian of waterways and their surrounding ecosystems.
-
A.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
B.
Gouraya
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
-
C.
Okapa
Okapa is a rural town in Papua New Guinea known for its highland culture and production of premium coffee.
-
D.
Ratodero
Ratodero is a town in Pakistan’s Sindh province that serves as an important local center within the Larkana District.
-
E.
Mandras
Mandras is a passionate but troubled young fisherman and resistance fighter in Louis de Bernières’ novel "Captain Corelli’s Mandolin," whose experiences in World War II strain his love for Pelagia and transform his character.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff4021e88190ad093bab74cf82a4 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc29f088190ba5d69ff3c12a251 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002ec2fd948190878af958d0b90ce6 |
completed | May 10, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00312a4fc48190b6bd6ad9db71bb4d |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:08 a.m.