Triple
T7648532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhode Island's 1st congressional district |
E173186
|
entity |
| Predicate | hasTwoDistrictsInState |
P77816
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rhode Island's 1st congressional district, hasTwoDistrictsInState, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTwoDistrictsInState Context triple: [Rhode Island's 1st congressional district, hasTwoDistrictsInState, true]
-
A.
hasTwoCountySeats
Indicates that an administrative region or county possesses exactly two official county seats (administrative centers).
-
B.
usesMultiMemberDistricts
Indicates that an electoral system or jurisdiction elects multiple representatives from the same district rather than just one.
-
C.
hasElectoralDistricts
Indicates that a political or administrative unit is divided into one or more electoral districts used for representation or voting.
-
D.
hasNumberOfCounties
Indicates the relationship that specifies how many counties are associated with or contained within a given entity.
-
E.
hasMembersPerState
Indicates a relationship that specifies how many members are associated with each state.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c6fb134a40819097f9de5f24d1df0f |
completed | March 27, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e9ef1c81909c8bff716541ac1f |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8195e5c8190835e28d44e19f6ef |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:58 p.m.