Triple
T33855390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Crispin's Day |
E867757
|
entity |
| Predicate | countryOfTraditionalLocation |
P13132
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [Saint Crispin's Day, countryOfTraditionalLocation, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfTraditionalLocation Context triple: [Saint Crispin's Day, countryOfTraditionalLocation, France]
-
A.
traditionalCountryLocatedIn
Indicates that a traditional or culturally recognized country is geographically situated within a larger modern country or territorial entity.
-
B.
traditionallyFoundIn
chosen
Indicates that something is customarily or historically located, used, or present within a particular place, context, or setting.
-
C.
countryInTradition
Indicates that a country participates in, is associated with, or belongs to a particular cultural, historical, or religious tradition.
-
D.
traditionallyResidesIn
Indicates that an entity customarily lives or has its long-established home in a particular place or region.
-
E.
countryOfNamingTradition
Indicates the country whose cultural or linguistic naming conventions are used to form or interpret a given name.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0115fb84448190b8b67a5ace7b289a |
completed | May 10, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_6a0114ef60a081908f8db7868cf29b2f |
completed | May 10, 2026, 11:29 p.m. |
Created at: May 1, 2026, 1:47 a.m.