Triple
T918549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panda Trek |
E19826
|
entity |
| Predicate | hasHabitatTheme |
P13439
|
FINISHED |
| Object | Chinese bamboo forest |
—
|
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: Chinese bamboo forest | Statement: [Panda Trek, hasHabitatTheme, Chinese bamboo forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHabitatTheme Context triple: [Panda Trek, hasHabitatTheme, Chinese bamboo forest]
-
A.
hasThemedLand
chosen
Indicates that one entity (typically a larger venue or park) includes or is composed of a specific themed land or area as part of its layout or structure.
-
B.
isMajorHabitatFor
Indicates that one entity serves as a primary or significant natural living environment for another entity.
-
C.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
D.
hasThemePark
Indicates that one entity owns, contains, or is associated with a theme park as part of its properties or offerings.
-
E.
isHomeOf
Indicates that a place serves as the primary residence or base for a person, group, or organization.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.