Triple
T7484919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida state parks |
E176856
|
entity |
| Predicate | includesNotableUnit |
P76508
|
FINISHED |
| Object | Everglades-adjacent state parks |
—
|
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: Everglades-adjacent state parks | Statement: [Florida state parks, includesNotableUnit, Everglades-adjacent state parks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesNotableUnit Context triple: [Florida state parks, includesNotableUnit, Everglades-adjacent state parks]
-
A.
notableUserUnit
Indicates that a particular user is distinguished or recognized as notable within a given unit, group, or context.
-
B.
notableForce
Indicates that an entity is recognized as a significant or influential force affecting another entity, system, or context.
-
C.
notableRecipientUnit
Indicates that an entity has received a notable award, honor, or recognition from the referenced unit or organization.
-
D.
notableUnitType
Indicates that an entity is notably associated with, characterized by, or best known for a particular type of unit (such as an organizational, measurement, or structural unit).
-
E.
hasNotableNation
Indicates that an entity is significantly associated with or recognized for a particular nation.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53a6bc081909f4b9cd7cdacf045 |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.