Triple
T12677235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linha da Beira Alta |
E302847
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Vilar Formoso |
E996713
|
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: Vilar Formoso | Statement: [Linha da Beira Alta, terminus, Vilar Formoso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vilar Formoso Context triple: [Linha da Beira Alta, terminus, Vilar Formoso]
-
A.
Vilar Formoso
chosen
Vilar Formoso is a Portuguese border town in the municipality of Almeida, known as one of the main rail and road gateways between Portugal and Spain.
-
B.
Marvão
Marvão is a fortified medieval village in Portugal known for its hilltop castle and panoramic views over the Alentejo region.
-
C.
Mosteiros
Mosteiros is a coastal municipality on the island of Fogo in Cape Verde, known for its volcanic landscapes, coffee production, and black-sand beaches.
-
D.
Mosteiros
Mosteiros is a coastal civil parish on the western tip of São Miguel Island in the Azores, known for its volcanic rock formations, natural swimming pools, and scenic Atlantic views.
-
E.
Sernancelhe
Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7722788190867cc8a27f678b4f |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:20 p.m.