Triple
T5106674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cais do Sodré |
E115111
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Seixal |
E527072
|
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: Seixal | Statement: [Cais do Sodré, connectsTo, Seixal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seixal Context triple: [Cais do Sodré, connectsTo, 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.
Seixas
Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
-
C.
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.
-
D.
Caldas da Rainha
Caldas da Rainha is a historic spa and market city in western Portugal, renowned for its thermal baths, ceramics tradition, and proximity to the Atlantic coast.
-
E.
Vila Franca de Xira
Vila Franca de Xira is a riverside municipality in the Lisbon District of Portugal, known for its bull-running traditions and its role as a commuter town within the Lisbon 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a7c6748190b02b7c2b617c830f |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf36a45c81909f5161f30e970fef |
completed | March 23, 2026, 4:19 a.m. |
Created at: March 20, 2026, 1:41 p.m.