Triple
T5815282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon District |
E128968
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Port of Lisbon |
E106359
|
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: Port of Lisbon | Statement: [Lisbon District, contains, Port of Lisbon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Lisbon Context triple: [Lisbon District, contains, Port of Lisbon]
-
A.
Port of Lisbon
chosen
The Port of Lisbon is a major Atlantic seaport in Portugal that serves as a key hub for maritime trade, passenger traffic, and logistics in the Iberian Peninsula.
-
B.
Port of Sines
Port of Sines is a major deep-water seaport on Portugal’s southwest coast, serving as a key hub for energy, container, and bulk cargo traffic in the Atlantic.
-
C.
Port of Faro
The Port of Faro is a maritime harbor in southern Portugal that serves as a regional hub for commercial shipping, fishing, and nautical tourism in the Algarve.
-
D.
Porto de Mós
Porto de Mós is a Portuguese town and municipality known for its hilltop castle and location near the limestone landscapes and caves of central Portugal.
-
E.
Port of Olhão
The Port of Olhão is a coastal Portuguese harbor in the Algarve region, serving as an important center for fishing, maritime trade, and local passenger transport.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0336344148190bcf417c0b9617cb9 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0984c5f14819096dfabce4a83e332 |
completed | March 23, 2026, 1:33 a.m. |
Created at: March 22, 2026, 3:53 p.m.