Triple
T37324918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entopia by Penang Butterfly Farm |
E926574
|
entity |
| Predicate | hasButterflyPopulation |
P193336
|
FINISHED |
| Object | thousands of butterflies |
—
|
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: thousands of butterflies | Statement: [Entopia by Penang Butterfly Farm, hasButterflyPopulation, thousands of butterflies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasButterflyPopulation Context triple: [Entopia by Penang Butterfly Farm, hasButterflyPopulation, thousands of butterflies]
-
A.
hasBirdColony
Indicates that one entity hosts or contains a colony of birds associated with it.
-
B.
hasJellyfishPopulation
Indicates that an entity possesses, contains, or supports a population of jellyfish.
-
C.
hasBirdSpecies
Indicates that there exists a relationship in which a subject possesses, contains, or is associated with a particular bird species.
-
D.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
E.
hasWildPopulation
Indicates that an entity has a population existing in natural, non-captive conditions in the wild.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
| PDg | Predicate description generation | batch_69fd4128ed908190837ec9936774a1cf |
completed | May 8, 2026, 1:49 a.m. |
Created at: May 3, 2026, 4:16 p.m.