Triple
T27484867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlanzón River |
E693706
|
entity |
| Predicate | hasRiverPark |
P25335
|
FINISHED |
| Object | Parque de la Isla |
—
|
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: Parque de la Isla | Statement: [Arlanzón River, hasRiverPark, Parque de la Isla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverPark Context triple: [Arlanzón River, hasRiverPark, Parque de la Isla]
-
A.
hasRiverValleyPark
chosen
Indicates that a place includes or is associated with a park located in or along a river valley.
-
B.
hasRiverfrontDistrict
Indicates that a place includes a designated district or area that directly borders and is oriented around a river.
-
C.
hasRiverCommunity
Indicates that there is a community located along, dependent on, or closely associated with a particular river.
-
D.
isCentralParkOf
Indicates that a location serves as the primary or central park for a specified area, city, or region.
-
E.
hasRiverBeach
Indicates that a location includes or is characterized by a beach area along a river.
- 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_69ef5381f2648190a2392d0fab833095 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 1:01 p.m.