Triple
T8183363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minho region |
E191121
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Barcelos |
E654946
|
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: Barcelos | Statement: [Minho region, hasMajorCity, Barcelos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barcelos Context triple: [Minho region, hasMajorCity, Barcelos]
-
A.
Barcelos
chosen
Barcelos is a historic Portuguese city in the Norte Region, renowned for its medieval heritage and as the birthplace of the iconic Barcelos Rooster symbol.
-
B.
Seixal
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.
-
C.
Braga
Braga is a historic city in northern Portugal known for its rich religious heritage, baroque architecture, and status as a regional cultural and educational center.
-
D.
Seixas
Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
-
E.
Matosinhos
Matosinhos is a coastal city in northern Portugal known for its port, beaches, and seafood cuisine, forming part of the Porto metropolitan area.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4f4ef88190ad346edad14b67ee |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce022b87bc8190b390adf9170eb886 |
completed | April 2, 2026, 5:44 a.m. |
Created at: March 30, 2026, 5:41 p.m.