Triple
T2661294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nepenthes rajah |
E54730
|
entity |
| Predicate | pitcherCapacity |
P1931
|
FINISHED |
| Object | up to several liters of fluid |
—
|
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: up to several liters of fluid | Statement: [Nepenthes rajah, pitcherCapacity, up to several liters of fluid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pitcherCapacity Context triple: [Nepenthes rajah, pitcherCapacity, up to several liters of fluid]
-
A.
capacityBaseball
Indicates the maximum number of spectators that a baseball venue is designed or allowed to hold.
-
B.
capacityBaseballApprox
Indicates an approximate seating capacity associated with a baseball-related venue or context.
-
C.
typicalCapacity
chosen
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
D.
pilgrimCapacity
Indicates the maximum number of pilgrims that an entity (such as a facility, vehicle, or location) is designed or allowed to accommodate.
-
E.
cargoHoldVolume
Indicates the total internal volume available within a cargo hold for storing goods or materials.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd9504d10819091abc03532a2fa6d |
completed | March 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.