Triple
T26707559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chimney swift |
E673321
|
entity |
| Predicate | typicalRoostSite |
P28100
|
FINISHED |
| Object | chimneys |
—
|
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: chimneys | Statement: [chimney swift, typicalRoostSite, chimneys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRoostSite Context triple: [chimney swift, typicalRoostSite, chimneys]
-
A.
perchingSite
Indicates a location or object where an entity (typically an animal, such as a bird) rests or sits temporarily.
-
B.
roostType
chosen
Indicates the type or kind of roost (e.g., structure or location) an animal uses for resting or nesting.
-
C.
birdHabitatType
Indicates the type of natural environment or habitat in which a bird typically lives or is commonly found.
-
D.
roostingPosture
Indicates the specific body position or stance an animal assumes while resting or sleeping on a perch or roost.
-
E.
oneOfWorldsLargestNestingSitesFor
Indicates that something serves as one of the largest known nesting locations in the world for a particular species or group.
- 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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fef2db323c8190821bda53f22a42be |
completed | May 9, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69fef21d63c88190abf6a99b59b3c655 |
completed | May 9, 2026, 8:36 a.m. |
Created at: April 27, 2026, 3:34 a.m.