Triple
T37664453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elder Guardian |
E937789
|
entity |
| Predicate | guaranteedDrop |
P140903
|
FINISHED |
| Object | Wet sponge |
—
|
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: Wet sponge | Statement: [Elder Guardian, guaranteedDrop, Wet sponge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guaranteedDrop Context triple: [Elder Guardian, guaranteedDrop, Wet sponge]
-
A.
guaranteedFor
Indicates that one entity provides an assurance or warranty that remains valid for another entity over a specified period or under certain conditions.
-
B.
hasFinalDrop
Indicates that an entity experiences or possesses a last or concluding decrease, reduction, or decline in some quantity, state, or value.
-
C.
droppedWith
Indicates that one entity was dropped while being accompanied or carried by another entity.
-
D.
dropsFrom
chosen
Indicates that one entity falls, descends, or is released from another entity as its source or origin.
-
E.
wouldHaveGuaranteed
Indicates that one entity’s action, condition, or provision would have ensured a particular outcome or protection for another entity, had the relevant circumstances occurred.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.