Triple
T5690471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale romanization |
E125415
|
entity |
| Predicate | clarityFor |
P56163
|
FINISHED |
| Object | tone distinctions |
—
|
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: tone distinctions | Statement: [Yale romanization, clarityFor, tone distinctions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clarityFor Context triple: [Yale romanization, clarityFor, tone distinctions]
-
A.
clarifiesThat
chosen
Indicates that one entity explains or makes another entity more understandable by removing ambiguity or confusion about it.
-
B.
clarifiesStandard
Indicates that one entity explains, specifies, or makes more precise the meaning or application of a given standard for another entity.
-
C.
transparency
Indicates that an entity’s internal processes, information, or decision-making are openly accessible and understandable to others.
-
D.
regulatoryClarification
Indicates that an authority provides additional explanation or detail to resolve ambiguity or uncertainty in existing regulations or rules.
-
E.
clearingHouse
Indicates that an entity functions as an intermediary organization that receives, processes, and redistributes transactions, information, or obligations between other parties.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.