Triple
T24544810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Martínez-Feduchi |
E607190
|
entity |
| Predicate | primaryCityOfWork |
P24431
|
FINISHED |
| Object | Madrid |
—
|
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: Madrid | Statement: [Luis Martínez-Feduchi, primaryCityOfWork, Madrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCityOfWork Context triple: [Luis Martínez-Feduchi, primaryCityOfWork, Madrid]
-
A.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
B.
primaryLocationCity
Indicates the city that serves as the main or primary location associated with the subject.
-
C.
workCity
chosen
Indicates the city in which an entity (typically a person) performs their work or job.
-
D.
primaryUseCity
Indicates that a city is the main or principal location where something (such as a service, facility, or entity) is primarily used or operates.
-
E.
principalCityOf
Indicates that a city serves as the main or most important city (often administrative, economic, or cultural center) of a specified region or area.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.