Triple
T321095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Senate |
E6416
|
entity |
| Predicate | districtBasedOn |
P12456
|
FINISHED |
| Object | single-member districts |
—
|
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: single-member districts | Statement: [Florida Senate, districtBasedOn, single-member districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: districtBasedOn Context triple: [Florida Senate, districtBasedOn, single-member districts]
-
A.
district
Indicates that one entity is an administrative or electoral district that geographically contains or governs another entity.
-
B.
regionName
Indicates the name assigned to a specific geographic or administrative region.
-
C.
addressLocality
Indicates the city, town, or locality in which an address is situated.
-
D.
basedInCity
Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
-
E.
countyEquivalent
Indicates that two territorial or administrative units are considered equivalent in status or function to a county within a given governmental or geographic framework.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea8047c08190872c875e00f6e7dd |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e946607081909c8b97473aaf8d1b |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea7d03a88190aab72e61d8673488 |
completed | Feb. 28, 2026, 1:15 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.