Triple
T31319110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calle de Génova |
E798676
|
entity |
| Predicate | streetNumberOfPartidoPopularHQ |
P89135
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Calle de Génova, streetNumberOfPartidoPopularHQ, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetNumberOfPartidoPopularHQ Context triple: [Calle de Génova, streetNumberOfPartidoPopularHQ, 13]
-
A.
hasHeadquartersOnStreet
chosen
Indicates that an organization’s headquarters is located on a specific street.
-
B.
boroughNumber
Indicates the numerical identifier assigned to a specific borough within a larger administrative or municipal division.
-
C.
isLocatedInDiplomaticQuarter
Indicates that one entity is situated within or belongs to the designated diplomatic quarter area.
-
D.
partyNumber
Indicates the identifier or ordinal position assigned to a specific party within a multi-party relationship or transaction.
-
E.
locationOfGoverningBody
Indicates the place where a governing body is based or carries out its official functions.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 9:15 p.m.