Triple
T18611685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cybertron |
E454907
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object |
Sea of Rust
Sea of Rust is a desolate, corrosive wasteland on the Transformers’ homeworld of Cybertron, known for its decaying metal landscapes and hazardous conditions.
|
E1333224
|
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: Sea of Rust | Statement: [Cybertron, hasRegion, Sea of Rust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sea of Rust Context triple: [Cybertron, hasRegion, Sea of Rust]
-
A.
Rotten Sea
Rotten Sea is an alternative name for Syvash, a large system of shallow, hypersaline lagoons on the northern coast of the Crimean Peninsula.
-
B.
Sea of Brass
Sea of Brass is an album by British Sea Power featuring reworked versions of their songs arranged for brass band and orchestra.
-
C.
Sea of Shallows
Sea of Shallows is a themed marine-life area at SeaWorld Orlando that features ocean-inspired attractions, exhibits, and the Manta roller coaster.
-
D.
Sea of Ice
Sea of Ice is a themed area within SeaWorld Orlando inspired by polar environments and icy seascapes, typically featuring related attractions and exhibits.
-
E.
Sea of Ice
Sea of Ice is the English translation of "Mer de Glace," the largest and one of the most famous glaciers in the French Alps near Chamonix.
- 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: Sea of Rust Triple: [Cybertron, hasRegion, Sea of Rust]
Generated description
Sea of Rust is a desolate, corrosive wasteland on the Transformers’ homeworld of Cybertron, known for its decaying metal landscapes and hazardous conditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sea of Rust Target entity description: Sea of Rust is a desolate, corrosive wasteland on the Transformers’ homeworld of Cybertron, known for its decaying metal landscapes and hazardous conditions.
-
A.
Rotten Sea
Rotten Sea is an alternative name for Syvash, a large system of shallow, hypersaline lagoons on the northern coast of the Crimean Peninsula.
-
B.
Sea of Brass
Sea of Brass is an album by British Sea Power featuring reworked versions of their songs arranged for brass band and orchestra.
-
C.
Sea of Shallows
Sea of Shallows is a themed marine-life area at SeaWorld Orlando that features ocean-inspired attractions, exhibits, and the Manta roller coaster.
-
D.
Sea of Ice
Sea of Ice is a themed area within SeaWorld Orlando inspired by polar environments and icy seascapes, typically featuring related attractions and exhibits.
-
E.
Sea of Ice
Sea of Ice is the English translation of "Mer de Glace," the largest and one of the most famous glaciers in the French Alps near Chamonix.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d01ebd08190b6e646e3a749d7f5 |
completed | April 19, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050389d4f481908463ea2501295b8b |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a05052b41bc819080284bc18db67d5b |
completed | May 13, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505cbc11481908e61d90dd64f6212 |
completed | May 13, 2026, 11:14 p.m. |
Created at: April 10, 2026, 11:45 a.m.