Triple
T25979038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Christophe |
E646018
|
entity |
| Predicate | equivalentShortEnglishName |
P99167
|
FINISHED |
| Object | St. Kitts |
—
|
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: St. Kitts | Statement: [Saint-Christophe, equivalentShortEnglishName, St. Kitts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentShortEnglishName Context triple: [Saint-Christophe, equivalentShortEnglishName, St. Kitts]
-
A.
hasOfficialShortNameInEnglish
Indicates that an entity has a designated official short form of its name expressed in English.
-
B.
commonShortNameFor
chosen
Indicates that one entity is a commonly used short or abbreviated name for another entity.
-
C.
equivalentGivenNameInEnglish
Indicates that two given names are equivalent in meaning or usage when expressed in English.
-
D.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
-
E.
shortNameInDanish
Indicates that one entity is the short or abbreviated name of another entity when expressed in Danish.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 22, 2026, 8:53 a.m.