Triple
T109726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A22 motorway |
E2219
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Faro |
E6080
|
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: [A22 motorway, serves, Faro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faro Context triple: [A22 motorway, serves, Faro]
-
A.
Faro District
chosen
Faro District is the southernmost administrative district of mainland Portugal, encompassing much of the Algarve region and its popular coastal resorts.
-
B.
Kutaisi
Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
-
C.
Furnes (Veurne)
Furnes (Veurne) is a historic town in West Flanders, Belgium, known for its well-preserved medieval architecture and role as a regional cultural center.
-
D.
Halve Maen
Halve Maen was a Dutch East India Company ship best known for carrying English explorer Henry Hudson on his 1609 voyage that led to the European exploration of the river now called the Hudson River.
-
E.
Iceland
Iceland is a Nordic island nation in the North Atlantic known for its dramatic volcanic landscapes, geothermal activity, and high standard of living.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a256ce54b48190a3337f5f45d82859 |
completed | Feb. 28, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a275e92ed08190819ad8385200dfa6 |
completed | Feb. 28, 2026, 4:58 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.