Triple
T38174911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le chalet |
E1000179
|
entity |
| Predicate | hasComposerBirthCountry |
P85588
|
FINISHED |
| Object | France |
E861
|
NE 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: France | Statement: [Le chalet, hasComposerBirthCountry, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComposerBirthCountry Context triple: [Le chalet, hasComposerBirthCountry, France]
-
A.
countryOfOriginOfComposer
Indicates the country from which a composer originates or is associated as their place of origin.
-
B.
associatedComposerNationality
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
-
C.
creatorCountryOfBirth
chosen
Indicates the country where the creator of an entity was born.
-
D.
coArtistNationality
Indicates that two artists who have collaborated share the same nationality.
-
E.
composerCountry
Indicates the country with which a composer is associated, typically by birth, citizenship, or primary activity.
- F. None of above.
Provenance (4 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_69f76daaace48190a38cee37f8ce343f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a417b25185c8190a86dd963366ef52e |
completed | June 28, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:29 p.m.