Triple
T15238406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysia LNG complex in Bintulu |
E364189
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
MLNG Satu
MLNG Satu is one of the liquefied natural gas production trains operated within the Malaysia LNG complex in Bintulu, Sarawak.
|
E1145357
|
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: MLNG Satu | Statement: [Malaysia LNG complex in Bintulu, hasComponent, MLNG Satu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MLNG Satu Context triple: [Malaysia LNG complex in Bintulu, hasComponent, MLNG Satu]
-
A.
Manggala
Manggala was a Mongol prince of the 13th century, notable as one of the sons of the Yuan dynasty founder Kublai Khan.
-
B.
Sangkum
Sangkum was a Cambodian political movement and ruling party led by Prince Norodom Sihanouk that dominated the country’s politics from the mid-1950s until its overthrow in 1970.
-
C.
Setia
Setia is the ancient Latin town that later became known as Sezze, located in the Lazio region of central Italy.
-
D.
Youlang
Youlang was the personal name of the Yongli Emperor, the last emperor of the Southern Ming dynasty who resisted the Qing conquest in 17th-century China.
-
E.
Landi Kotal
Landi Kotal is a town in Pakistan’s Khyber District, historically significant as a key trading and military post near the Khyber Pass on the route to Afghanistan.
- 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: MLNG Satu Triple: [Malaysia LNG complex in Bintulu, hasComponent, MLNG Satu]
Generated description
MLNG Satu is one of the liquefied natural gas production trains operated within the Malaysia LNG complex in Bintulu, Sarawak.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MLNG Satu Target entity description: MLNG Satu is one of the liquefied natural gas production trains operated within the Malaysia LNG complex in Bintulu, Sarawak.
-
A.
Manggala
Manggala was a Mongol prince of the 13th century, notable as one of the sons of the Yuan dynasty founder Kublai Khan.
-
B.
Sangkum
Sangkum was a Cambodian political movement and ruling party led by Prince Norodom Sihanouk that dominated the country’s politics from the mid-1950s until its overthrow in 1970.
-
C.
Setia
Setia is the ancient Latin town that later became known as Sezze, located in the Lazio region of central Italy.
-
D.
Youlang
Youlang was the personal name of the Yongli Emperor, the last emperor of the Southern Ming dynasty who resisted the Qing conquest in 17th-century China.
-
E.
Landi Kotal
Landi Kotal is a town in Pakistan’s Khyber District, historically significant as a key trading and military post near the Khyber Pass on the route to Afghanistan.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007da7e988190925a9b67b8070bc7 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3f9d308190af5374f0362c62f5 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69feded546688190b931b60a55babcd0 |
completed | May 9, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedf72e6148190afbfbe92ed2ed277 |
completed | May 9, 2026, 7:17 a.m. |
Created at: April 10, 2026, 3:12 a.m.