Triple
T37478804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadi Cornellà-El Prat |
E931356
|
entity |
| Predicate | cityForPostalAddress |
P184265
|
FINISHED |
| Object | Cornellà de Llobregat |
—
|
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: Cornellà de Llobregat | Statement: [Estadi Cornellà-El Prat, cityForPostalAddress, Cornellà de Llobregat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityForPostalAddress Context triple: [Estadi Cornellà-El Prat, cityForPostalAddress, Cornellà de Llobregat]
-
A.
postalCityForMail
chosen
Indicates that a particular city is designated as the official mailing city for a given address or location.
-
B.
postalCodeCity
Indicates that a given postal code is associated with, or belongs to, a particular city.
-
C.
hasPostalServiceCity
Indicates that a location is served by or associated with a particular city’s postal service.
-
D.
cityIs
Indicates that one entity is a city associated with, or identified as, another entity.
-
E.
nativeCity
Indicates that a city is the place where a person was born or is originally from.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.