Triple
T9099284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Olhão |
E218109
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Faro |
E84088
|
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: Faro | Statement: [Port of Olhão, near, Faro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faro Context triple: [Port of Olhão, near, Faro]
-
A.
Faro
chosen
Faro is a historic coastal city in southern Portugal that serves as the capital of the Algarve region and a major gateway for tourism.
-
B.
Hvalvík
Hvalvík is a small coastal village in the Faroe Islands known for its traditional wooden church and scenic fjord-side setting.
-
C.
Klaksvík
Klaksvík is the second-largest town in the Faroe Islands, known as an important fishing and commercial center located on the island of Borðoy.
-
D.
Æðuvík
Æðuvík is a small coastal village on the Faroe Islands’ island of Eysturoy, known for its scenic seaside setting and traditional Faroese character.
-
E.
Tvøroyri
Tvøroyri is a town on the island of Suðuroy in the Faroe Islands, known as an important local fishing and administrative center.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9710ac04819096b9c8d3399b9c35 |
completed | April 1, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03014ea488190abc71a0ee182bcad |
completed | April 3, 2026, 9:24 p.m. |
Created at: March 30, 2026, 7:15 p.m.