Triple
T11177514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | João de Castro |
E264448
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Roteiro de Goa a Diu |
E9427
|
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: Roteiro de Goa a Diu | Statement: [João de Castro, notableWork, Roteiro de Goa a Diu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roteiro de Goa a Diu Context triple: [João de Castro, notableWork, Roteiro de Goa a Diu]
-
A.
GOA
GOA is the IATA airport code for Genoa Cristoforo Colombo Airport, the main international airport serving the city of Genoa in Italy.
-
B.
GOA
GOA, short for Guerrilla Open Access, is an activist movement advocating for the free and unrestricted sharing of scholarly and cultural information, often in defiance of traditional copyright and paywall systems.
-
C.
Boa Viagem
Boa Viagem is a famous beachfront neighborhood in Recife, Brazil, known for its long urban beach, high-rise skyline, and vibrant tourist scene.
-
D.
Goa
chosen
Goa is a coastal state on India’s western shore known for its beaches, distinctive blend of Indian and Portuguese heritage, and vibrant tourism industry.
-
E.
GOI
GOI is the station code for General Osório, a major Rio de Janeiro Metro station serving the Ipanema area.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4838f19388190af6fde7d4275ce2a |
completed | April 19, 2026, 7:26 a.m. |
Created at: April 8, 2026, 9:29 p.m.