Triple
T8968562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Hope, Florida |
E214202
|
entity |
| Predicate | hasIncorporatedStatus |
P69304
|
FINISHED |
| Object | unincorporated |
—
|
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: unincorporated | Statement: [New Hope, Florida, hasIncorporatedStatus, unincorporated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIncorporatedStatus Context triple: [New Hope, Florida, hasIncorporatedStatus, unincorporated]
-
A.
incorporatedStatus
chosen
Indicates whether an entity has been legally formed and registered as a corporation or similar incorporated organization.
-
B.
stateFlagIncorporatedInBranding
Indicates that a state's flag is incorporated into the visual branding or logo design of an entity.
-
C.
incorporatedAs
Indicates that an organization has been legally formed and registered under a specific corporate structure or name.
-
D.
incorporatedThrough
Indicates that one entity was formed, established, or legally created by means of another specified process, mechanism, or intermediary entity.
-
E.
statusBeforeIncorporation
Indicates the legal or organizational status an entity held prior to its formal incorporation.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6764aca48190a5e472d1b6841886 |
completed | April 1, 2026, 12:31 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:01 p.m.