Triple
T2258960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IETF Stream |
E49791
|
entity |
| Predicate | hasStatusSeries |
P34873
|
FINISHED |
| Object | Standards Track |
—
|
LITERAL 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: Standards Track | Statement: [IETF Stream, hasStatusSeries, Standards Track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatusSeries Context triple: [IETF Stream, hasStatusSeries, Standards Track]
-
A.
hasStandardSeries
chosen
Indicates that an entity is associated with, or belongs to, a designated standard series or standardized sequence.
-
B.
hasStatusIn
Indicates that an entity holds or is assigned a particular status within a specified context, scope, or system.
-
C.
hasStatusLabel
Indicates that an entity is associated with a specific status expressed as a human-readable label.
-
D.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
E.
hasSubSeries
Indicates that one series is a subordinate or component series within a larger parent series.
- F. None of above.
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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc15ad06c8190b6d0babc17015787 |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbdb34c148190b51e99f540f97204 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:48 p.m.