Triple
T6034227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTCRtpEncodingParameters |
E134377
|
entity |
| Predicate | propertyType_fec |
P68888
|
FINISHED |
| Object | RTCRtpFecParameters |
—
|
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: RTCRtpFecParameters | Statement: [RTCRtpEncodingParameters, propertyType_fec, RTCRtpFecParameters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propertyType_fec Context triple: [RTCRtpEncodingParameters, propertyType_fec, RTCRtpFecParameters]
-
A.
typeOfPolitician
Indicates that one politician belongs to a specific category or role of political office (e.g., senator, mayor, minister) within a political system.
-
B.
houseAffiliation
Indicates the association or belonging of an entity to a particular house or household.
-
C.
holderPoliticalAffiliation
Indicates that a person or officeholder is associated with or belongs to a particular political party or ideology.
-
D.
representedPoliticalEntity
Indicates that one entity has served as an official political representative or agent acting on behalf of another political entity.
-
E.
campaignFinanceFeature
Indicates a relationship where an entity possesses or is associated with a specific aspect, rule, or characteristic of campaign finance.
- F. None of above. chosen
Provenance (4 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056b220608190b156be95632cf3b3 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:08 p.m.