Triple
T7268309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cala Millor |
E161034
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object | Son Servera |
E558169
|
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: Son Servera | Statement: [Cala Millor, hasNearbyLocality, Son Servera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Son Servera Context triple: [Cala Millor, hasNearbyLocality, Son Servera]
-
A.
Son Servera
chosen
Son Servera is a coastal municipality and village on the eastern side of the island of Mallorca in Spain’s Balearic Islands.
-
B.
Serer
Serer is a Niger–Congo language spoken primarily by the Serer people of Senegal and neighboring regions.
-
C.
Sebaste
Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
-
D.
Temara
Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
-
E.
Stavrota
Stavrota is the highest mountain peak on the Greek island of Lefkada, known for its panoramic views over the Ionian Sea.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae8cc288190bc3ae3c7b38980d0 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db1e4f9c8190a23ce5a35073b7c7 |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:58 p.m.