Triple
T1633518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Africa Rainforest |
E35310
|
entity |
| Predicate | intendedToRecreate |
P30764
|
FINISHED |
| Object | lush Central African jungle habitat |
—
|
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: lush Central African jungle habitat | Statement: [Africa Rainforest, intendedToRecreate, lush Central African jungle habitat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedToRecreate Context triple: [Africa Rainforest, intendedToRecreate, lush Central African jungle habitat]
-
A.
recreated
Indicates that an entity has been created again or restored, typically after being removed, destroyed, or significantly altered.
-
B.
seeksToReplace
Indicates an intention or effort by one entity to take over the role, function, or position currently held by another entity.
-
C.
reconstructedDuring
Indicates that an entity was rebuilt, restored, or significantly repaired within a specified time period or event.
-
D.
reintroduced
Indicates that an entity that was previously removed, extinct, or absent has been brought back or restored to a place, context, or state.
-
E.
reconstructedIn
Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
- F. None of above. chosen
Provenance (4 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907cac610819083cafd4396b6d66c |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9607716b4819092187f8c08daaf31 |
completed | March 5, 2026, 10:52 a.m. |
Created at: March 4, 2026, 7:28 p.m.