Triple
T5961368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serra de Llevant |
E132644
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Manacor |
E149911
|
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: Manacor | Statement: [Serra de Llevant, hasSettlement, Manacor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manacor Context triple: [Serra de Llevant, hasSettlement, Manacor]
-
A.
Manacor
chosen
Manacor is a major town on the Spanish island of Mallorca, known for its pearl industry and as the birthplace of tennis player Rafael Nadal.
-
B.
Mahón
Mahón is the principal city and administrative center of the Spanish Balearic island of Menorca, known for its large natural harbor and historic architecture.
-
C.
Alcúdia
Alcúdia is a historic coastal town in northern Mallorca, Spain, known for its well-preserved medieval walls, charming old town, and nearby sandy beaches.
-
D.
Sóller
Sóller is a picturesque town in northwestern Mallorca, Spain, known for its historic tramway, citrus groves, and scenic setting in the Serra de Tramuntana mountains.
-
E.
Calvià
Calvià is a coastal municipality on the Spanish island of Mallorca, known for its popular tourist resorts and Mediterranean beaches.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039ff421c819085fc92f0b707d31b |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c12505bb8c8190a2f509e9615d0dcd |
completed | March 23, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:02 p.m.