Triple
T7804323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pájara |
E180509
|
entity |
| Predicate | hasResort |
P4287
|
FINISHED |
| Object | Morro Jable |
E182625
|
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: Morro Jable | Statement: [Pájara, hasResort, Morro Jable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morro Jable Context triple: [Pájara, hasResort, Morro Jable]
-
A.
Morro Jable
chosen
Morro Jable is a coastal resort town on the southern tip of Fuerteventura in Spain’s Canary Islands, known for its long sandy beaches and tourism.
-
B.
Cerro de la Silla
Cerro de la Silla is a distinctive saddle-shaped mountain and iconic natural symbol overlooking the city of Monterrey in northeastern Mexico.
-
C.
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.
-
D.
Morro
Morro is a village located on the island of Maio in Cape Verde, known for its coastal setting and small-community character.
-
E.
Jerez Peak
Jerez Peak is the highest mountain on Clarence Island in the South Shetland Islands of Antarctica.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf636def8819084117fababac06b2 |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a2fd718819097cee2482bca74ad |
completed | March 31, 2026, 5:22 a.m. |
Created at: March 30, 2026, 4:34 p.m.