Triple
T30421741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Plagas |
E773918
|
entity |
| Predicate | discoveredInUniverse |
P120678
|
FINISHED |
| Object | rural region of Spain |
—
|
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: rural region of Spain | Statement: [Las Plagas, discoveredInUniverse, rural region of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discoveredInUniverse Context triple: [Las Plagas, discoveredInUniverse, rural region of Spain]
-
A.
eraInUniverse
Indicates the specific time period or era during which something exists or occurs within a particular fictional or defined universe.
-
B.
wasDiscoveredIn
Indicates that an entity became known or was first identified during a specific time period or at a particular place.
-
C.
inUniversePlanet
Indicates that a planet exists within or belongs to a particular fictional or defined universe.
-
D.
hasInUniverseLocationRelation
chosen
Indicates a relationship where an entity is associated with, or situated at, a specific location within a fictional or defined universe or setting.
-
E.
hasFictionalUniverseElement
Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 29, 2026, 8:06 p.m.