Triple
T4309156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue du Général-Dufour |
E94029
|
entity |
| Predicate | hasEponymNationality |
P35759
|
FINISHED |
| Object | Swiss |
—
|
LITERAL 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: Swiss | Statement: [Rue du Général-Dufour, hasEponymNationality, Swiss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEponymNationality Context triple: [Rue du Général-Dufour, hasEponymNationality, Swiss]
-
A.
hasEponymCitizenship
chosen
Indicates that an entity’s eponym (the person or figure it is named after) holds or held a particular citizenship or national affiliation.
-
B.
eponymCountry
Indicates that a country is named after (or serves as the namesake for) a particular person, place, or entity.
-
C.
namedForNationality
Indicates that something is named after or in reference to a particular nationality or national identity.
-
D.
ethnicEponymOf
Indicates that one term is an eponym derived from or naming an ethnic group or people.
-
E.
nationalityOfActor
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d40748819084798058396be113 |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:11 p.m.