Triple
T4439246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Príncipe |
E95728
|
entity |
| Predicate | largestSettlement |
P163
|
FINISHED |
| Object | Santo António |
E439943
|
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: Santo António | Statement: [Príncipe, largestSettlement, Santo António]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santo António Context triple: [Príncipe, largestSettlement, Santo António]
-
A.
Santo António
chosen
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.
Santo Antônio
Santo Antônio is a historic central neighborhood of Recife, Brazil, known for its colonial architecture, commercial activity, and cultural landmarks.
-
C.
Anthony of Lisbon
Anthony of Lisbon is a revered 13th-century Catholic saint and Doctor of the Church, famed as the patron of lost items and for his powerful preaching and miracles.
-
D.
António
António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
-
E.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aaa9288190b95d875d343d6ee5 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6281264f08190942d2043495c89d5 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:31 p.m.