Triple
T38251951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | วุฒิสภา |
E1014071
|
entity |
| Predicate | hasAbbreviationEnglish |
P3437
|
FINISHED |
| Object | Senate |
—
|
NE NERFINISHED |
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: Senate | Statement: [วุฒิสภา, hasAbbreviationEnglish, Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationEnglish Context triple: [วุฒิสภา, hasAbbreviationEnglish, Senate]
-
A.
hasAbbreviationInCzech
Indicates that an entity has a specific abbreviation or shortened form when expressed in the Czech language.
-
B.
hasAbbreviationInPortuguese
Indicates that one entity is used as the Portuguese-language abbreviation or shortened form of another entity.
-
C.
hasEnglishName
chosen
Indicates that an entity is associated with a name expressed in the English language.
-
D.
hasAbbreviationStatus
Indicates that an entity has a particular status or condition regarding its abbreviation (e.g., whether it is abbreviated, how, or to what extent).
-
E.
usesAbbreviationOf
Indicates that one entity employs a shortened or abbreviated form of the name or designation of another entity.
- 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_69f76dd7e89c8190b7866bc85aea521b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.