Triple
T24905691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citroën C35 |
E623700
|
entity |
| Predicate | coDevelopedInCountry |
P33964
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [Citroën C35, coDevelopedInCountry, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coDevelopedInCountry Context triple: [Citroën C35, coDevelopedInCountry, Italy]
-
A.
countryOfDeveloper
Indicates the country in which the developer of an entity (such as a product, software, or work) is based or originates.
-
B.
placeOfDevelopment
chosen
Indicates the location where something (such as a product, project, or work) was created, designed, or developed.
-
C.
alsoDevelopedIn
Indicates that something was additionally developed in another context, location, or environment beyond the primary one already specified.
-
D.
discoveredInCountry
Indicates that something was discovered within the geographical boundaries or jurisdiction of a specified country.
-
E.
wasDevelopedIn
Indicates that an entity (such as a product, technology, or work) came into existence or was created during a specific time period or at a particular place.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:27 a.m.