Triple
T1876639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugarloaf Mountain |
E39158
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Morro da Urca |
E209268
|
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: Morro da Urca | Statement: [Sugarloaf Mountain, near, Morro da Urca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morro da Urca Context triple: [Sugarloaf Mountain, near, Morro da Urca]
-
A.
Morro de Môco
Morro de Môco is the tallest mountain in Angola, a prominent peak in the country's central highlands.
-
B.
Urca
chosen
Urca is a picturesque, upscale seaside neighborhood in Rio de Janeiro, Brazil, known for its tranquil streets, historic architecture, and scenic views of Guanabara Bay.
-
C.
São Jorge hill
São Jorge hill is the prominent elevation in Lisbon’s historic center that hosts the iconic São Jorge Castle and overlooks the city and the Tagus River.
-
D.
Torre do Pinhão
Torre do Pinhão is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
-
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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0da543481908ab25806e6b80375 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae228008190a0d427c74fd37511 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:34 p.m.