Triple
T13717287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linha de Azambuja |
E328933
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Azambuja |
E374178
|
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: Azambuja | Statement: [Linha de Azambuja, hasStation, Azambuja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azambuja Context triple: [Linha de Azambuja, hasStation, Azambuja]
-
A.
Azambuja
chosen
Azambuja is a municipality in Portugal known for its agricultural landscape and proximity to the Lisbon metropolitan area.
-
B.
Luso
Luso is the former colonial-era name of the city now known as Luena, the capital of Moxico Province in eastern Angola.
-
C.
Itumbiara
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
-
D.
Morumbi
Morumbi is a major football stadium in São Paulo, Brazil, best known as the home ground of São Paulo FC and a frequent venue for major national and international matches.
-
E.
Amarante
Amarante is a Portuguese wine subregion within Vinho Verde, known for producing fresh, often slightly sparkling white wines as well as some reds and rosés.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8cd0280819081c524660f3822f3 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:54 p.m.