Triple
T1454425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thuy |
E31365
|
entity |
| Predicate | associatedElement |
P2830
|
FINISHED |
| Object | water element |
—
|
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: water element | Statement: [Thuy, associatedElement, water element]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedElement Context triple: [Thuy, associatedElement, water element]
-
A.
associatedIndex
Indicates that one entity is linked to another through a corresponding index or positional reference.
-
B.
attachedTo
Indicates that one entity is physically or logically fastened, connected, or joined to another entity.
-
C.
associatedBody
Indicates a relationship where one entity is linked or connected to another entity as its related or corresponding body.
-
D.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
E.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57fead881909a47188ce7312406 |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47cdbd0819092022344a2f4ad7b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.