Triple
T1738643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fóia |
E37978
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Serra de Monchique |
E37978
|
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: Serra de Monchique | Statement: [Fóia, locatedIn, Serra de Monchique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serra de Monchique Context triple: [Fóia, locatedIn, Serra de Monchique]
-
A.
Monchique
chosen
Monchique is a mountainous spa town in southern Portugal known for its lush forests, thermal springs, and panoramic views over the Algarve region.
-
B.
Sierra de la Victoria
Sierra de la Victoria is a mountain range located on the Baja California Peninsula in northwestern Mexico.
-
C.
Sierra de Guadarrama
Sierra de Guadarrama is a prominent mountain range in central Spain, forming part of the Central System and serving as a natural border between the Community of Madrid and Castile and León.
-
D.
Sierra de San Javier
Sierra de San Javier is a mountain range on Mexico’s Baja California Peninsula known for its rugged terrain, desert landscapes, and proximity to historic mission sites.
-
E.
Monte Gordo
Monte Gordo is a popular seaside resort town in Portugal’s Algarve region, known for its wide sandy beaches and tourism-focused amenities.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c35aec8190b5c19ace5524173f |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0dbc7c081909d637c5a482389ef |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.