Triple
T8634068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corcovado Mountain |
E204475
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Tijuca Massif |
E747651
|
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: Tijuca Massif | Statement: [Corcovado Mountain, partOf, Tijuca Massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tijuca Massif Context triple: [Corcovado Mountain, partOf, Tijuca Massif]
-
A.
Serra da Carioca
chosen
Serra da Carioca is a mountainous sector of Rio de Janeiro’s Tijuca Massif, known for its forested peaks, scenic vistas, and iconic landmarks such as Christ the Redeemer atop Corcovado.
-
B.
Morro de Môco
Morro de Môco is the tallest mountain in Angola, a prominent peak in the country's central highlands.
-
C.
Morro dos Homens
Morro dos Homens is the highest peak on Corvo Island in the Azores archipelago of Portugal, known for its dramatic volcanic landscape and Atlantic Ocean views.
-
D.
Morro do Careca
Morro do Careca is a famous dune-topped hill covered with vegetation that serves as an iconic natural symbol of Natal in Brazil’s Rio Grande do Norte state.
-
E.
Morro Branco
Morro Branco is a famous beach in the Brazilian state of Ceará, known for its colorful sand cliffs, labyrinthine sand formations, and scenic coastal landscapes.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4743d31881908cf9fc3838c4bdd9 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecca2a3e48190b74ed3c948196409 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:27 p.m.