Triple
T21491867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpujarras region |
E530256
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Lanjarón |
—
|
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: Lanjarón | Statement: [Alpujarras region, containsSettlement, Lanjarón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanjarón Context triple: [Alpujarras region, containsSettlement, Lanjarón]
-
A.
Lanjarón
chosen
Lanjarón is a spa town in southern Spain renowned for its mineral water springs and as a gateway to the Alpujarras region of the Sierra Nevada.
-
B.
Fuentealbilla
Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
-
C.
Peñalver
Peñalver is a Spanish-language surname of likely toponymic origin, borne by various notable individuals including figures in Latin American history and politics.
-
D.
Arnedo
Arnedo is a town in the La Rioja region of northern Spain, known historically for its footwear industry and its location amid the Cidacos River valley.
-
E.
Brihuega
Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea3ba2fc81909638bbb3e1d92ea5 |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:22 p.m.