Triple
T18868812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yenangyaung oilfields |
E461512
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Myanmar oil industry |
—
|
NE NERFINISHED |
How this triple was built (3 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: Myanmar oil industry | Statement: [Yenangyaung oilfields, partOf, Myanmar oil industry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myanmar oil industry Context triple: [Yenangyaung oilfields, partOf, Myanmar oil industry]
-
A.
Yenangyaung oilfields
Yenangyaung oilfields are a major oil-producing region in central Myanmar that historically served as a key strategic resource, notably during World War II.
-
B.
Yadana gas project in Myanmar
The Yadana gas project in Myanmar is a major natural gas development and pipeline venture in the Andaman Sea that has been central to regional energy supply and the focus of significant human rights and environmental controversies.
-
C.
Assam oil fields
Assam oil fields are a group of historically significant petroleum-producing fields in the Indian state of Assam, known for being among the earliest and most important centers of oil extraction in the country.
-
D.
Sabunchi oil field
The Sabunchi oil field is a historic petroleum-producing area in the Baku region of Azerbaijan that was developed and operated by the Nobel Brothers’ oil company, Branobel, during the late 19th and early 20th centuries.
-
E.
Angore gas field
Angore gas field is a natural gas reservoir located in Papua New Guinea’s Hela Province, contributing to the country’s petroleum and LNG industry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Myanmar oil industry Target entity description: The Myanmar oil industry is the sector encompassing the exploration, extraction, refining, and distribution of petroleum resources in Myanmar, historically centered on fields such as Yenangyaung and playing a significant role in the country’s economy and energy supply.
-
A.
Yenangyaung oilfields
chosen
Yenangyaung oilfields are a major oil-producing region in central Myanmar that historically served as a key strategic resource, notably during World War II.
-
B.
Yadana gas project in Myanmar
The Yadana gas project in Myanmar is a major natural gas development and pipeline venture in the Andaman Sea that has been central to regional energy supply and the focus of significant human rights and environmental controversies.
-
C.
Assam oil fields
Assam oil fields are a group of historically significant petroleum-producing fields in the Indian state of Assam, known for being among the earliest and most important centers of oil extraction in the country.
-
D.
Sabunchi oil field
The Sabunchi oil field is a historic petroleum-producing area in the Baku region of Azerbaijan that was developed and operated by the Nobel Brothers’ oil company, Branobel, during the late 19th and early 20th centuries.
-
E.
Angore gas field
Angore gas field is a natural gas reservoir located in Papua New Guinea’s Hela Province, contributing to the country’s petroleum and LNG industry.
- F. None of above.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a7e1308190a1667d2d2d43df6c |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 10, 2026, 11:57 a.m.