Triple
T12783395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transocean |
E305562
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object |
Valaris
Valaris is a major offshore drilling contractor that provides oil and gas exploration and production companies with a global fleet of drilling rigs and related services.
|
E1002332
|
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: Valaris | Statement: [Transocean, hasCompetitor, Valaris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valaris Context triple: [Transocean, hasCompetitor, Valaris]
-
A.
Vereya
Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
-
B.
Revalia
Revalia is an alternative name historically used for the city of Reval, now known as Tallinn, the capital of Estonia.
-
C.
Orbiana
Orbiana was a Roman empress of the 3rd century, briefly married to Emperor Severus Alexander before falling victim to court intrigues that led to her exile.
-
D.
Viadrus
Viadrus is the ancient Latin name historically used to refer to the Oder River in Central Europe.
-
E.
Yvorne
Yvorne is a small municipality in the canton of Vaud in western Switzerland, known for its vineyards and scenic Alpine surroundings.
- 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: Valaris Triple: [Transocean, hasCompetitor, Valaris]
Generated description
Valaris is a major offshore drilling contractor that provides oil and gas exploration and production companies with a global fleet of drilling rigs and related services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valaris Target entity description: Valaris is a major offshore drilling contractor that provides oil and gas exploration and production companies with a global fleet of drilling rigs and related services.
-
A.
Vereya
Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
-
B.
Revalia
Revalia is an alternative name historically used for the city of Reval, now known as Tallinn, the capital of Estonia.
-
C.
Orbiana
Orbiana was a Roman empress of the 3rd century, briefly married to Emperor Severus Alexander before falling victim to court intrigues that led to her exile.
-
D.
Viadrus
Viadrus is the ancient Latin name historically used to refer to the Oder River in Central Europe.
-
E.
Yvorne
Yvorne is a small municipality in the canton of Vaud in western Switzerland, known for its vineyards and scenic Alpine surroundings.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5b52048190b279b7ad066efe9f |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68504c95081909dc52cc02e43e8ba |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f687fffe9c81909c58129162a0c231 |
completed | May 2, 2026, 11:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f688cc57048190ba7bacdcd6c0c182 |
completed | May 2, 2026, 11:29 p.m. |
Created at: April 9, 2026, 5:29 p.m.