Triple
T27155239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La casa de papel: Corea |
E682500
|
entity |
| Predicate | hasHeistLocation |
P110053
|
FINISHED |
| Object | Joint Economic Area Mint |
—
|
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: Joint Economic Area Mint | Statement: [La casa de papel: Corea, hasHeistLocation, Joint Economic Area Mint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeistLocation Context triple: [La casa de papel: Corea, hasHeistLocation, Joint Economic Area Mint]
-
A.
hasBossLocation
Indicates that an entity’s boss is located at a particular place or position.
-
B.
hasShootingLocation
Indicates that an audiovisual work was filmed or recorded at a particular location.
-
C.
hasActLocation
chosen
Indicates that an action or event occurs at, or is associated with, a specific location.
-
D.
hasVillainBaseLocation
Indicates that a villain’s primary base or headquarters is located at a specified place.
-
E.
hasCursedLocation
Indicates a relationship where a location is affected by or associated with a curse.
- 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 27, 2026, 9:16 a.m.