Triple
T17371611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legislative Assembly of the Falkland Islands |
E422328
|
entity |
| Predicate | numberOfMembersFromCampConstituency |
P60915
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Legislative Assembly of the Falkland Islands, numberOfMembersFromCampConstituency, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMembersFromCampConstituency Context triple: [Legislative Assembly of the Falkland Islands, numberOfMembersFromCampConstituency, 3]
-
A.
numberOfDistrictMembers
chosen
Indicates the relationship that specifies how many members are associated with a given district.
-
B.
estimatedConstituencySize
Indicates the approximate number of individuals or units that are believed to fall within a particular constituency or represented group.
-
C.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
-
D.
hasNumberOfCouncillors
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
E.
constituencyNumber
Indicates the specific electoral or administrative constituency identifier assigned to an entity within a numbered set of constituencies.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a69d93c81908ce2d909857a3a11 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.