Triple
T15956191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raška |
E386940
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Ras |
E316060
|
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: Ras | Statement: [Raška, hasAlternativeName, Ras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ras Context triple: [Raška, hasAlternativeName, Ras]
-
A.
Ras
chosen
Ras is a historic medieval region and former capital area of the early Serbian state, known for its significant monasteries and fortifications.
-
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 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.
-
D.
Rasool
"Rasool" is a spoken-word and musical track by Jill Scott that tells a poignant story of love, loss, and violence from her album *Beautifully Human: Words and Sounds Vol. 2*.
-
E.
RasGas
RasGas was a major Qatari liquefied natural gas (LNG) company responsible for developing and operating some of Qatar’s largest gas projects.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fb29848190a55cabb49cb19575 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7c8ef081908fa6da7975c271f6 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.