Triple
T19839024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legislatures of Portugal |
E476673
|
entity |
| Predicate | legislatureNumberingScheme |
P137527
|
FINISHED |
| Object | ordinal numbering (1st, 2nd, 3rd, …) |
—
|
LITERAL 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: ordinal numbering (1st, 2nd, 3rd, …) | Statement: [Legislatures of Portugal, legislatureNumberingScheme, ordinal numbering (1st, 2nd, 3rd, …)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislatureNumberingScheme Context triple: [Legislatures of Portugal, legislatureNumberingScheme, ordinal numbering (1st, 2nd, 3rd, …)]
-
A.
legislatureNumber
Indicates the specific numbered session or term of a legislative body associated with an entity or event.
-
B.
congressionalNumberingState
Indicates the state associated with a particular numbering or designation of a congressional body or district.
-
C.
electoralSystemForLegislature
Indicates the type of electoral system used to choose members of a particular legislature.
-
D.
historicalNumberingScheme
Indicates that the associated numbering system or identifier reflects a past or legacy scheme that was used historically rather than the current one.
-
E.
numberOfLegislatures
Indicates the total count of distinct legislatures associated with or relevant to a given entity.
- F. None of above. chosen
Provenance (4 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65803bb988190a4e7c0035058feba |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:50 p.m.