Triple
T8777873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homochitto National Forest (regional vicinity) |
E208640
|
entity |
| Predicate | typicalSeasonalUse |
P13215
|
FINISHED |
| Object | year-round recreation |
—
|
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: year-round recreation | Statement: [Homochitto National Forest (regional vicinity), typicalSeasonalUse, year-round recreation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSeasonalUse Context triple: [Homochitto National Forest (regional vicinity), typicalSeasonalUse, year-round recreation]
-
A.
usedForSeasonRange
Indicates the span of seasons or time period during which something is intended or suitable to be used.
-
B.
typicalSectorUse
Indicates the type of sector in which something is most commonly or characteristically used.
-
C.
hasSeasonalNature
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
-
D.
basedOnSeason
Indicates that something is determined, influenced, or derived according to a particular season or time of year.
-
E.
typicalSeasonTiming
chosen
Indicates the usual time period or season during which something normally occurs or is expected to take place.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f51b3d48190b542a0423d3938e0 |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:42 p.m.