Triple
T22218959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A33 motorway (Portugal) |
E549154
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Seixal |
—
|
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: Seixal | Statement: [A33 motorway (Portugal), servesCity, Seixal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seixal Context triple: [A33 motorway (Portugal), servesCity, Seixal]
-
A.
Seixal
chosen
Seixal is a municipality on the south bank of the Tagus River in the Lisbon metropolitan area, known as a residential and industrial suburb connected to Lisbon by road and ferry links.
-
B.
Seixal
Seixal is a small coastal town on the north side of Madeira Island in Portugal, known for its dramatic cliffs, natural pools, and black sand beach.
-
C.
Seixas
Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
-
D.
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.
-
E.
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.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8edd288190a49f10e009122057 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.