Triple
T7428270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H.323 |
E171421
|
entity |
| Predicate | partOfSeries |
P1761
|
FINISHED |
| Object | H-series Recommendations |
E438167
|
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: H-series Recommendations | Statement: [H.323, partOfSeries, H-series Recommendations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H-series Recommendations Context triple: [H.323, partOfSeries, H-series Recommendations]
-
A.
Series H
chosen
Series H is a set of ITU-T telecommunications standards primarily focused on audiovisual and multimedia systems, including video coding and conferencing protocols.
-
B.
Series S
Series S is a set of ITU-T telecommunications standards focused on telegraph and related terminal equipment specifications.
-
C.
G Series
G Series is Dell’s line of gaming-focused laptops and desktops designed to offer strong performance at more affordable prices than its premium Alienware range.
-
D.
Series E
Series E is a set of ITU-T telecommunications standards that define principles and guidelines for international telephone network operation and quality of service.
-
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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f306bfe481909f99f6792de95ffc |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f0e28e88190805108dff740dda3 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.