Triple
T16825031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon metropolitan area |
E408996
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Sesimbra |
E670626
|
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: Sesimbra | Statement: [Lisbon metropolitan area, containsMunicipality, Sesimbra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sesimbra Context triple: [Lisbon metropolitan area, containsMunicipality, Sesimbra]
-
A.
Sesimbra
chosen
Sesimbra is a coastal town and municipality in Portugal known for its fishing heritage, beaches, and proximity to the Arrábida Natural Park.
-
B.
Mazarrón
Mazarrón is a coastal town and popular tourist destination in Spain’s Region of Murcia, known for its beaches, marina, and archaeological heritage.
-
C.
Aljezur
Aljezur is a historic coastal town and municipality in southwestern Portugal known for its medieval castle, whitewashed houses, and unspoiled beaches within the Algarve region.
-
D.
Quarteira
Quarteira is a coastal town in Portugal’s Algarve region known for its long sandy beaches, seaside promenade, and role as a popular holiday resort.
-
E.
Nerja
Nerja is a coastal town on Spain’s Costa del Sol, known for its beaches, dramatic cliffs, and the famous Nerja Caves.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b310ffec81908087e5aaacc4a7c2 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29e48f881908489bd77a9caec97 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.