Triple
T19458232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cachan |
E486790
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Aveiro |
—
|
NE NERFINISHED |
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: Aveiro | Statement: [Cachan, hasTwinTown, Aveiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aveiro Context triple: [Cachan, hasTwinTown, Aveiro]
-
A.
Aveiro
chosen
Aveiro is a coastal city in central Portugal known for its picturesque canals, colorful moliceiro boats, and distinctive Art Nouveau architecture.
-
B.
Vila do Conde
Vila do Conde is a coastal city in northern Portugal known for its historic shipbuilding heritage, beaches, and well-preserved medieval architecture.
-
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.
Viana do Castelo
Viana do Castelo is a historic coastal city in northern Portugal, known for its maritime heritage, medieval architecture, and the hilltop Sanctuary of Santa Luzia overlooking the Atlantic Ocean.
-
E.
Abrantes
Abrantes is a historic Portuguese city in the Santarém District, known for its hilltop castle and strategic location overlooking the Tagus River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c569a081908b5a71226345a929 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.