Triple
T12677240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linha da Beira Alta |
E302847
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Pampilhosa |
E996721
|
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: Pampilhosa | Statement: [Linha da Beira Alta, passesThrough, Pampilhosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pampilhosa Context triple: [Linha da Beira Alta, passesThrough, Pampilhosa]
-
A.
Pampilhosa
chosen
Pampilhosa is a town in central Portugal known historically as an important railway junction on the country’s main inland routes.
-
B.
Pampilhosa da Serra
Pampilhosa da Serra is a small municipality in central Portugal known for its mountainous landscapes, schist villages, and forested river valleys.
-
C.
Bemposta
Bemposta is a civil parish located within the municipality of Abrantes in central Portugal.
-
D.
Pinheiral
Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
-
E.
Raposeira
Raposeira is a small village in Portugal’s Algarve region, known for its rural charm and proximity to the Atlantic coast near Vila do Bispo.
- 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_69f684dfce0c8190b3b8260450bd6967 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:20 p.m.