Triple
T300613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RESTCONF |
E6188
|
entity |
| Predicate | relatedStandard |
P37
|
FINISHED |
| Object | YANG |
E6186
|
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: YANG | Statement: [RESTCONF, relatedStandard, YANG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YANG Context triple: [RESTCONF, relatedStandard, YANG]
-
A.
YANG modeling language
chosen
YANG modeling language is a data modeling language used to define the structure and configuration of network devices and services, particularly in modern network management and automation systems.
-
B.
RYAAY
RYAAY is the NASDAQ-listed American Depositary Receipt (ADR) representing shares of Ryanair Holdings plc, the Irish low-cost airline group.
-
C.
Ye
Ye is Kanye West's eighth studio album, known for its introspective themes and minimalist production.
-
D.
mak yong
Mak yong is a traditional Malay dance-drama form that combines acting, singing, music, and ritual elements, historically performed in village and court settings in Malaysia and southern Thailand.
-
E.
Greg Yang
Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e6a8308190b9bd15310e324504 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b0732b5c81908f08a37ce720bc04 |
completed | March 1, 2026, 3:20 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.