Triple
T6774653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulsan-gwangyeoksi |
E155125
|
entity |
| Predicate | hasMajorFacilityOf |
P105
|
FINISHED |
| Object | S-Oil |
E153849
|
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: S-Oil | Statement: [Ulsan-gwangyeoksi, hasMajorFacilityOf, S-Oil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S-Oil Context triple: [Ulsan-gwangyeoksi, hasMajorFacilityOf, S-Oil]
-
A.
S-Oil
chosen
S-Oil is a major South Korean oil refining and petrochemical company known for operating large-scale refinery facilities and producing fuels and lubricants for domestic and international markets.
-
B.
Castrol
Castrol is a global brand of industrial and automotive lubricants, best known for its high-performance motor oils and long-standing involvement in motorsports sponsorship.
-
C.
Lucas Oil
Lucas Oil is an American manufacturer and distributor of automotive oils, lubricants, and additives widely used in consumer, commercial, and motorsports applications.
-
D.
Mobil Delvac
Mobil Delvac is a long-standing line of heavy-duty diesel engine oils and lubricants designed for commercial vehicles and industrial applications.
-
E.
Fuchs Petrolub
Fuchs Petrolub is a global German manufacturer specializing in lubricants and related specialty products for automotive, industrial, and other applications.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7c94bac8190ae4b236d1b04bec9 |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712ca48d88190b9f47b23264d4264 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:13 p.m.