Triple
T31043897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ennis Bluebonnet Trails |
E791070
|
entity |
| Predicate | typicalBloomPeriod |
P1343
|
FINISHED |
| Object | early April |
—
|
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: early April | Statement: [Ennis Bluebonnet Trails, typicalBloomPeriod, early April]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBloomPeriod Context triple: [Ennis Bluebonnet Trails, typicalBloomPeriod, early April]
-
A.
bloomSeason
chosen
Indicates the time period during which something, typically a plant, is in bloom or flowering.
-
B.
floweringInterval
Indicates the time span or period during which an entity is in bloom or producing flowers.
-
C.
typicalPeriod
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
-
D.
bloomingSeasonRelativeTo
Indicates the time period or phase, relative to another reference point or season, during which an entity is in bloom.
-
E.
floweringFrequency
Indicates how often an entity produces flowers within a given time period.
- 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:59 p.m.