Triple
T35523539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special English |
E1026606
|
entity |
| Predicate | speechRate |
P3511
|
FINISHED |
| Object | slower than standard broadcast English |
—
|
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: slower than standard broadcast English | Statement: [Special English, speechRate, slower than standard broadcast English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speechRate Context triple: [Special English, speechRate, slower than standard broadcast English]
-
A.
soundRecordingSpeed
chosen
Indicates the recording speed at which an audio recording was captured or is intended to be played back.
-
B.
readSpeed
Indicates the rate at which an entity reads or processes written material.
-
C.
speechContent
Indicates that one entity expresses, conveys, or contains the spoken or written content associated with another entity’s act of speaking or communication.
-
D.
speechType
Indicates the specific category or form of spoken or written communication that an utterance or speech act belongs to (e.g., question, statement, command).
-
E.
hasSpeechFluency
Indicates that an entity exhibits a certain level or quality of smoothness, coherence, and ease in spoken language production.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.