Triple
T7611243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 98 |
E172240
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Parque das Nações |
E153411
|
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: Parque das Nações | Statement: [Expo 98, location, Parque das Nações]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parque das Nações Context triple: [Expo 98, location, Parque das Nações]
-
A.
Parque das Nações
chosen
Parque das Nações is a modern waterfront district in Lisbon known for its contemporary architecture, leisure facilities, and the site of Expo 98.
-
B.
Wonderwood Park
Wonderwood Park is a public recreational park located in the city of Lacey in Washington State.
-
C.
Parque del Oeste
Parque del Oeste is a large urban park in Madrid, Spain, known for its landscaped gardens, scenic viewpoints, and cultural landmarks.
-
D.
Ciudad de los Parques
Ciudad de los Parques is the popular nickname for the Cuban city of Holguín, renowned for its numerous plazas and green public squares.
-
E.
Centennial Park
Centennial Park is a large urban green space in Moncton, New Brunswick, known for its walking trails, recreational facilities, and year-round outdoor activities.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa221c848190b892ba1caec8d83a |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868645f8081909439f63df3184628 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:55 p.m.