Triple
T33693153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | green woodhoopoe |
E863234
|
entity |
| Predicate | rangeHabitat |
P83249
|
FINISHED |
| Object | dry woodland |
—
|
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: dry woodland | Statement: [green woodhoopoe, rangeHabitat, dry woodland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeHabitat Context triple: [green woodhoopoe, rangeHabitat, dry woodland]
-
A.
geographicRangeType
Indicates the kind of geographic range or distribution pattern that characterizes where an entity occurs or is found.
-
B.
featuresHabitat
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
C.
onlyNaturalHabitatOf
Indicates that a given location is the sole natural habitat where a particular species or organism occurs in the wild.
-
D.
regionOfAdaptation
chosen
Indicates the geographic or environmental region to which an entity is specifically adapted.
-
E.
naturalRegionOf
Indicates that one entity is the natural geographic region or area in which the other entity is located or to which it belongs.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fa86c4308190b13345c7517a8ddf |
completed | May 3, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.