Triple
T8604366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odemira |
E203760
|
entity |
| Predicate | hasCivilParish |
P2739
|
FINISHED |
| Object | São Teotónio |
E735200
|
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: São Teotónio | Statement: [Odemira, hasCivilParish, São Teotónio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Teotónio Context triple: [Odemira, hasCivilParish, São Teotónio]
-
A.
Santo António
Santo António is the main town and administrative center of Príncipe Island in São Tomé and Príncipe, known for its colonial architecture and coastal setting.
-
B.
Saint Teotonius
chosen
Saint Teotonius was a 12th-century Portuguese priest and canon regular, revered for his piety and reforming zeal and recognized as the first Portuguese-born saint.
-
C.
Atanacio
Atanacio is the Spanish given name of Hall of Fame Cuban-American baseball player Tony Pérez.
-
D.
Timoteo
Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
-
E.
Estevão
Estevão is the Portuguese given name equivalent to the Hungarian name István, commonly rendered in English as Stephen.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46dd8ff8819081ef269192047488 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f8dfa4819080c8ed475a84be41 |
completed | April 2, 2026, 5:35 p.m. |
Created at: March 30, 2026, 6:24 p.m.