Triple
T28528247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rua de São Bento |
E721970
|
entity |
| Predicate | parliamentHoused |
P8998
|
FINISHED |
| Object | Assembly of the Republic of Portugal |
—
|
NE NERFINISHED |
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: Assembly of the Republic of Portugal | Statement: [Rua de São Bento, parliamentHoused, Assembly of the Republic of Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parliamentHoused Context triple: [Rua de São Bento, parliamentHoused, Assembly of the Republic of Portugal]
-
A.
parliamentLocation
Indicates the place where a country's or region's parliament is situated or convenes.
-
B.
parliamentaryHouse
Indicates that one entity functions as a parliamentary chamber or house within the legislative system of another entity.
-
C.
legislativeChamberHoused
Indicates that a particular legislative chamber is located within or accommodated by a specific building or facility.
-
D.
hasLegislatureBuilding
chosen
Indicates that one entity serves as the official legislature building or physical premises where the legislative body of another entity meets or operates.
-
E.
legislativeBodyLocated
Indicates that the physical location of a legislative body is at a specified place or jurisdiction.
- F. None of above.
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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 3:26 a.m.