Triple
T16001073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marathon Oil |
E388092
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
MRO
MRO is the stock ticker symbol for Marathon Oil Corporation, a U.S.-based independent energy company focused on oil and natural gas exploration and production.
|
E1187832
|
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: MRO | Statement: [Marathon Oil, hasAbbreviation, MRO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRO Context triple: [Marathon Oil, hasAbbreviation, MRO]
-
A.
MRO
MRO is a NASA spacecraft orbiting Mars that conducts high-resolution imaging and scientific observations of the planet’s surface, atmosphere, and subsurface.
-
B.
MRO
MRO is the former ISO 4217 currency code for the old Mauritanian ouguiya, which was replaced by MRU in a 2018 redenomination.
-
C.
MRO Division
MRO Division is a specialized unit of Hindustan Aeronautics Limited responsible for maintenance, repair, and overhaul services for aircraft and aerospace systems.
-
D.
9M-MRO
9M-MRO was the Boeing 777-200ER airliner operated by Malaysia Airlines that disappeared in 2014 while flying as Flight MH370.
-
E.
EMRO
EMRO is the World Health Organization’s regional office responsible for public health coordination and support across the Eastern Mediterranean region.
- 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: MRO Triple: [Marathon Oil, hasAbbreviation, MRO]
Generated description
MRO is the stock ticker symbol for Marathon Oil Corporation, a U.S.-based independent energy company focused on oil and natural gas exploration and production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MRO Target entity description: MRO is the stock ticker symbol for Marathon Oil Corporation, a U.S.-based independent energy company focused on oil and natural gas exploration and production.
-
A.
MRO
MRO is a NASA spacecraft orbiting Mars that conducts high-resolution imaging and scientific observations of the planet’s surface, atmosphere, and subsurface.
-
B.
MRO
MRO is the former ISO 4217 currency code for the old Mauritanian ouguiya, which was replaced by MRU in a 2018 redenomination.
-
C.
MRO Division
MRO Division is a specialized unit of Hindustan Aeronautics Limited responsible for maintenance, repair, and overhaul services for aircraft and aerospace systems.
-
D.
9M-MRO
9M-MRO was the Boeing 777-200ER airliner operated by Malaysia Airlines that disappeared in 2014 while flying as Flight MH370.
-
E.
EMRO
EMRO is the World Health Organization’s regional office responsible for public health coordination and support across the Eastern Mediterranean region.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fba9748190ac8fc27b167d49f7 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d99ca08190a3d07a0802b1b24a |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc44e8b0c81909b8af9006aa5fc4d |
completed | May 9, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4bdf840819085e0a537e126c704 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 10, 2026, 4:55 a.m.