Triple
T4836416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rua de Santa Justa |
E108069
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Baixa |
E20143
|
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: Baixa | Statement: [Rua de Santa Justa, locatedIn, Baixa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baixa Context triple: [Rua de Santa Justa, locatedIn, Baixa]
-
A.
Baixa
chosen
Baixa is Lisbon’s historic downtown district, known for its grid-planned streets, grand plazas, and Pombaline architecture rebuilt after the 1755 earthquake.
-
B.
Bayside
Bayside is a primarily residential neighborhood in the northeastern part of Queens, New York City, known for its suburban feel, good schools, and waterfront parks.
-
C.
Lower City
Lower City is the main residential and administrative quarter of the ancient Hittite capital Hattusa, containing key temples, houses, and public buildings.
-
D.
Lower City
Lower City is the historic waterfront district of Salvador, Bahia, known for its colonial architecture, bustling port, and role as a commercial and cultural hub.
-
E.
La Barra
La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce193488190a618250a5681f3ff |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cbbc8a08190b01e4ca717260a20 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:25 p.m.