Triple
T4188863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mobil |
E88383
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Mobil 1 |
E88383
|
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: Mobil 1 | Statement: [Mobil, hasBrand, Mobil 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mobil 1 Context triple: [Mobil, hasBrand, Mobil 1]
-
A.
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.
-
B.
S-Oil
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.
-
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.
Caltex
Caltex is an international petroleum brand of Chevron Corporation, known for its network of fuel stations and lubricants across Asia-Pacific, Africa, and the Middle East.
-
E.
Mobil
chosen
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0326eaec819083cd298c9219dd15 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a034f6481909a3126d8832f7821 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:46 p.m.