Triple
T37324915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entopia by Penang Butterfly Farm |
E926574
|
entity |
| Predicate | originalFarmOpeningYear |
P195163
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Entopia by Penang Butterfly Farm, originalFarmOpeningYear, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalFarmOpeningYear Context triple: [Entopia by Penang Butterfly Farm, originalFarmOpeningYear, 1986]
-
A.
officialOpeningYear
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
B.
hasPlantOpeningYear
chosen
Indicates the year in which a plant (such as a factory or facility) was first opened or began operation.
-
C.
originalPlannedOpeningYear
Indicates the year that was initially scheduled or intended for something to open, before any delays or changes.
-
D.
firstLocationOpeningDate
Indicates the date on which the first location associated with the subject entity was opened.
-
E.
firstFactoryEstablishedAt
Indicates the location where an entity’s very first factory was established.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.