Triple
T30964452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Serena Reservoir |
E788912
|
entity |
| Predicate | rankInSpainByCapacity |
P180730
|
FINISHED |
| Object | one of the largest reservoirs in 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: one of the largest reservoirs in Spain | Statement: [La Serena Reservoir, rankInSpainByCapacity, one of the largest reservoirs in Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInSpainByCapacity Context triple: [La Serena Reservoir, rankInSpainByCapacity, one of the largest reservoirs in Spain]
-
A.
passengerTrafficRankInSpain
Indicates the relative position of an entity in terms of passenger traffic volume compared to other entities within Spain.
-
B.
nationalCapsForCatalonia
Indicates that a person has made official national team appearances (caps) for Catalonia in football (soccer).
-
C.
SpainCaps
Indicates the number of times a person has appeared (been capped) for the Spain national team in official matches.
-
D.
rankByCapacityInUS
Indicates the relative ordering of entities based on their capacity within the United States.
-
E.
populationRankInValencianCommunity
Indicates the relative position of an entity in terms of population size compared to other entities within the Valencian Community.
- F. None of above. chosen
Provenance (4 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
| PDg | Predicate description generation | batch_69f74c6fa6548190b03935f65429a24e |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 29, 2026, 8:54 p.m.