Triple
T250184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Escambia County, Florida |
E5125
|
entity |
| Predicate | countyCommissioners |
P2433
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Escambia County, Florida, countyCommissioners, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countyCommissioners Context triple: [Escambia County, Florida, countyCommissioners, 5]
-
A.
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.
-
B.
district
Indicates that one entity is an administrative or electoral district that geographically contains or governs another entity.
-
C.
hasNumberOfCouncillors
chosen
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
D.
countySeat
Indicates that one place serves as the administrative center or capital of a county.
-
E.
hasCommittee
Indicates that an entity is associated with or overseen by a specific committee.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d3728f0819086214ccc2db2305a |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b665f8c8190aac6fcbba2a0eebb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.