Triple
T1937869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITU-T G.8261 |
E41484
|
entity |
| Predicate | belongsToSeries |
P4276
|
FINISHED |
| Object | G.826x series |
E41483
|
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: G.826x series | Statement: [ITU-T G.8261, belongsToSeries, G.826x series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G.826x series Context triple: [ITU-T G.8261, belongsToSeries, G.826x series]
-
A.
G.826x
chosen
G.826x is an ITU-T standards series that defines methods and requirements for packet-based frequency and time synchronization in telecommunications networks.
-
B.
Xpress GA
Xpress GA is a regional commuter bus service in Georgia that connects suburban areas like Clayton County with major employment and activity centers in the Atlanta metropolitan area.
-
C.
Sharp X1
The Sharp X1 is a series of 8-bit home computers released by Sharp Corporation in the early 1980s, known for their advanced graphics and sound capabilities in the Japanese market.
-
D.
Daewoo G2X
The Daewoo G2X is a South Korean two-seat roadster sports car based on GM’s Kappa platform, closely related to the Saturn Sky and Opel GT.
-
E.
Q series
The Q series is Audi’s lineup of luxury crossover and sport utility vehicles, ranging from compact to full-size models.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c752fc81909baf38ff1cdeb18c |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f6285c8190925af156f49cf9a2 |
completed | March 8, 2026, 10:11 p.m. |
Created at: March 4, 2026, 7:36 p.m.