Triple
T12312595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assis |
E293516
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Assis (Portuguese) |
E293516
|
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: Assis (Portuguese) | Statement: [Assis, hasNameInLanguage, Assis (Portuguese)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assis (Portuguese) Context triple: [Assis, hasNameInLanguage, Assis (Portuguese)]
-
A.
Assis
chosen
Assis is a municipality in the western part of the state of São Paulo, Brazil, known as a regional commercial and educational center.
-
B.
Sendinês
Sendinês is a regional dialect of the Mirandese language spoken in and around the village of Sendim in northeastern Portugal.
-
C.
Azambuja
Azambuja is a municipality in Portugal known for its agricultural landscape and proximity to the Lisbon metropolitan area.
-
D.
Tiaguinho (Brazilian Portuguese)
Tiaguinho is a Brazilian Portuguese diminutive form of the male given name Tiago, commonly used as an affectionate nickname.
-
E.
Luso
Luso is the former colonial-era name of the city now known as Luena, the capital of Moxico Province in eastern Angola.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f03d3c88190baedffb83465bff8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e84fa708190854afc6afd425fd7 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.