Triple
T17088464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setúbal District |
E414661
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Santiago do Cacém |
—
|
NE NERFINISHED |
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: Santiago do Cacém | Statement: [Setúbal District, hasCity, Santiago do Cacém]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santiago do Cacém Context triple: [Setúbal District, hasCity, Santiago do Cacém]
-
A.
Santiago do Cacém
chosen
Santiago do Cacém is a historic municipality in Portugal’s Alentejo region, known for its medieval castle, Roman ruins at Miróbriga, and rural landscapes.
-
B.
Vila do Conde
Vila do Conde is a coastal city in northern Portugal known for its historic shipbuilding heritage, beaches, and well-preserved medieval architecture.
-
C.
Setúbal
Setúbal is a coastal city in southern Portugal known for its fishing industry, nearby Arrábida Natural Park, and views over the Sado Estuary.
-
D.
Sernancelhe
Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
-
E.
Vila Nova de Famalicão
Vila Nova de Famalicão is a municipality in northern Portugal known for its strong industrial base, particularly in textiles and manufacturing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
Created at: April 10, 2026, 5:35 a.m.