Triple
T13300998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Pedriza |
E316809
|
entity |
| Predicate | hasRockFormation |
P4015
|
FINISHED |
| Object |
Las Torres
Las Torres is a striking cluster of towering granite rock formations in the La Pedriza area of Spain’s Sierra de Guadarrama, popular with climbers and hikers.
|
E1031931
|
NE FINISHED |
How this triple was built (4 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: Las Torres | Statement: [La Pedriza, hasRockFormation, Las Torres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Las Torres Context triple: [La Pedriza, hasRockFormation, Las Torres]
-
A.
Torre
Torre is a neighborhood in the Brazilian city of Recife, known for its residential character and urban amenities.
-
B.
Torre
The Torre is a river in northeastern Italy that flows through the Friuli-Venezia Giulia region before joining the Isonzo River.
-
C.
Torre
Torre is a residential and commercial district within the seaside town of Torquay in Devon, England.
-
D.
Torre
Torre is the summit that marks the highest elevation in mainland Portugal, located in the Serra da Estrela mountain range.
-
E.
Torre
Torre is a surname most prominently associated with Joe Torre, the Hall of Fame Major League Baseball manager and former player.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Las Torres Triple: [La Pedriza, hasRockFormation, Las Torres]
Generated description
Las Torres is a striking cluster of towering granite rock formations in the La Pedriza area of Spain’s Sierra de Guadarrama, popular with climbers and hikers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Las Torres Target entity description: Las Torres is a striking cluster of towering granite rock formations in the La Pedriza area of Spain’s Sierra de Guadarrama, popular with climbers and hikers.
-
A.
Torre
The Torre is a river in northeastern Italy that flows through the Friuli-Venezia Giulia region before joining the Isonzo River.
-
B.
Torre
Torre is a neighborhood in the Brazilian city of Recife, known for its residential character and urban amenities.
-
C.
Torre
Torre is a residential and commercial district within the seaside town of Torquay in Devon, England.
-
D.
Torre
Torre is the summit that marks the highest elevation in mainland Portugal, located in the Serra da Estrela mountain range.
-
E.
Torre
Torre is a surname most prominently associated with Joe Torre, the Hall of Fame Major League Baseball manager and former player.
- F. None of above. chosen
Provenance (5 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a43ed88190a8dbbbd7d6d62dc4 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716df8c2c8190bd17b47848546271 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7177f2270819098426a269032ea1c |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 9, 2026, 9:28 p.m.