Triple
T4974795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shell |
E111738
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Royal Dutch Shell |
E243501
|
NE FINISHED |
How this triple was built (2 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: Royal Dutch Shell | Statement: [Shell, alsoKnownAs, Royal Dutch Shell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royal Dutch Shell Context triple: [Shell, alsoKnownAs, Royal Dutch Shell]
-
A.
Royal Dutch Shell
chosen
Royal Dutch Shell is a major British-Dutch multinational oil and gas company and one of the largest energy corporations in the world.
-
B.
British Petroleum
British Petroleum is a major British multinational oil and gas company involved in exploration, production, refining, and energy trading worldwide.
-
C.
Chevron Corporation
Chevron Corporation is one of the world’s largest integrated oil and gas companies, involved in exploration, production, refining, and marketing of petroleum and related energy products globally.
-
D.
MOL Global
MOL Global was a Malaysian online payment solutions provider best known for acquiring the once-popular social networking site Friendster.
-
E.
Exxon
Exxon is a major American multinational oil and gas corporation known for its global energy production, refining, and petrochemical operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd722e77208190833dc760a57428d5 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be92489ae481909240f2ad20637649 |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:33 p.m.