Triple
T8929599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martorell |
E212617
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Llobregat River |
E606987
|
NE 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: Llobregat River | Statement: [Martorell, locatedOnRiver, Llobregat River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llobregat River Context triple: [Martorell, locatedOnRiver, Llobregat River]
-
A.
Llobregat River
chosen
The Llobregat River is a major river in northeastern Spain that flows through Catalonia to the Mediterranean Sea near Barcelona.
-
B.
Baix Llobregat
Baix Llobregat is a coastal comarca in Catalonia, Spain, located just southwest of Barcelona and known for its mix of industrial areas, agricultural plains, and growing residential suburbs.
-
C.
Ebro River
The Ebro River is one of the longest and most significant rivers in Spain, flowing eastward across the northern Iberian Peninsula to the Mediterranean Sea.
-
D.
Río Turia
Río Turia is a river in eastern Spain that flows through the city of Valencia before emptying into the Mediterranean Sea.
-
E.
El Prat de Llobregat
El Prat de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for hosting the city's main international airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc667470308190a75ba63de803e3a2 |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1d55d84819094bc2b6e3dd94254 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:57 p.m.