Triple
T18447866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto Novo |
E450703
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Porto Novo Municipality |
—
|
NE NERFINISHED |
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: Porto Novo Municipality | Statement: [Porto Novo, capitalOf, Porto Novo Municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porto Novo Municipality Context triple: [Porto Novo, capitalOf, Porto Novo Municipality]
-
A.
Porto Novo
chosen
Porto Novo is the main port town and administrative center on the island of Santo Antão in Cape Verde.
-
B.
Porto-Novo
Porto-Novo is the official capital city of Benin, known for its colonial architecture and role as a political and cultural center in West Africa.
-
C.
Biassou
Biassou was a prominent early leader of the Haitian Revolution, known for his role in organizing and directing the initial slave uprisings against French colonial rule.
-
D.
San-Pédro
San-Pédro is a major port city in southwestern Côte d'Ivoire, known especially for its role in the export of cocoa and other goods.
-
E.
Cap-Vert urban area
Cap-Vert urban area is the principal metropolitan region surrounding Dakar on the Cap-Vert Peninsula in Senegal, encompassing the city’s core and its surrounding urbanized zones.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52645cb88819086b0e70b6613edcd |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:30 a.m.