Triple
T19005901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torrelodones |
E465080
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Torrelodones Colonia |
—
|
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: Torrelodones Colonia | Statement: [Torrelodones, hasPart, Torrelodones Colonia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torrelodones Colonia Context triple: [Torrelodones, hasPart, Torrelodones Colonia]
-
A.
Torrelodones
chosen
Torrelodones is a municipality in the Community of Madrid, Spain, known as a residential town northwest of the capital with a mix of urban areas and natural surroundings.
-
B.
Villar del Cobo
Villar del Cobo is a small rural municipality in the province of Teruel, Aragon, Spain, situated in the mountainous Sierra de Albarracín comarca.
-
C.
Torredelcampo
Torredelcampo is a municipality in southern Spain’s Andalusia region, situated near the city of Jaén and known for its olive groves and agricultural economy.
-
D.
Valencia de las Torres
Valencia de las Torres is a small rural municipality in the Las Vegas Altas del Guadiana comarca of the Extremadura region in western Spain.
-
E.
Albarracín
Albarracín is a historic hilltop town in eastern Spain renowned for its well-preserved medieval architecture and dramatic red sandstone setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a494688190a277b2cddf300235 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.