Triple
T14510992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QatarEnergy |
E340392
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | RasGas |
E340394
|
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: RasGas | Statement: [QatarEnergy, hasSubsidiary, RasGas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RasGas Context triple: [QatarEnergy, hasSubsidiary, RasGas]
-
A.
RasGas
chosen
RasGas was a major Qatari liquefied natural gas (LNG) company responsible for developing and operating some of Qatar’s largest gas projects.
-
B.
Ras
Ras is a high-ranking Ethiopian noble title historically bestowed upon powerful regional rulers and military leaders, roughly equivalent to a duke or prince.
-
C.
Ras
Ras is a historic medieval region and former capital area of the early Serbian state, known for its significant monasteries and fortifications.
-
D.
Ras G
Ras G was an experimental Los Angeles-based hip-hop and electronic music producer known for his cosmic, Afrofuturist sound and association with the Brainfeeder collective.
-
E.
RAS
RAS is the commonly used abbreviation for the Russian Academy of Sciences, the leading state scientific institution in Russia overseeing a wide range of research disciplines.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e5b7b48190878be271840c265b |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da48b2c8190a906965a7ebcb607 |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.