Triple
T22311041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auburndale, Florida |
E551512
|
entity |
| Predicate | FIPSPlaceType |
P16688
|
FINISHED |
| Object | incorporated place |
—
|
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: incorporated place | Statement: [Auburndale, Florida, FIPSPlaceType, incorporated place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIPSPlaceType Context triple: [Auburndale, Florida, FIPSPlaceType, incorporated place]
-
A.
placeType
chosen
Indicates the type or category of place associated with an entity (e.g., city, park, building).
-
B.
typeOfToponym
Indicates the specific category or kind of place name (toponym) that applies to a given geographic entity.
-
C.
regionTypeOfPlace
Indicates that a place belongs to or is categorized under a specific type of geographic or administrative region.
-
D.
countyType
Indicates the classification or category of a county within an administrative or governmental system.
-
E.
politicalSubdivisionType
Indicates the specific category or level of governmental or administrative division that characterizes a political subdivision.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574e7fc0819080e3e85001ab2c90 |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.