Triple
T20220246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Island, Texas |
E495231
|
entity |
| Predicate | birdingSeasonPeak |
P79541
|
FINISHED |
| Object | 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: April | Statement: [High Island, Texas, birdingSeasonPeak, April]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: birdingSeasonPeak Context triple: [High Island, Texas, birdingSeasonPeak, April]
-
A.
birdwatchingFeature
Indicates a feature, characteristic, or amenity that is specifically related to or beneficial for birdwatching activities.
-
B.
birdObservatoryStatus
Indicates the operational or functional status of a bird observatory at a given time or condition.
-
C.
birdDiversity
Indicates the variety and richness of different bird species present within a given area, community, or dataset.
-
D.
majorBirdGroups
Indicates that the subject entity represents a major taxonomic or evolutionary grouping within birds that includes the object entity as a member or component.
-
E.
bestTimeToVisitForWildlife
chosen
Indicates the most favorable time period to visit a place specifically for observing wildlife activity or diversity.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edc88148190b003b72eb4c69da5 |
completed | April 20, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.