Triple
T30039379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanoi lake system |
E763253
|
entity |
| Predicate | hasArtificialComponent |
P188093
|
FINISHED |
| Object | artificial lakes |
—
|
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: artificial lakes | Statement: [Hanoi lake system, hasArtificialComponent, artificial lakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtificialComponent Context triple: [Hanoi lake system, hasArtificialComponent, artificial lakes]
-
A.
isArtificial
Indicates that an entity is man-made or produced by human design rather than occurring naturally.
-
B.
hasArtificialCrewmember
Indicates that an entity includes at least one crew member that is artificial (e.g., a robot or AI) rather than biological.
-
C.
containsArtificialColor
Indicates that the subject includes at least one artificial (synthetically produced) coloring agent.
-
D.
isArtificiallyImproved
Indicates that an entity has been enhanced or modified through artificial or human-made means beyond its original or natural state.
-
E.
hasCybernetic
Indicates that an entity possesses or is equipped with cybernetic enhancements, implants, or components.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fba28684208190921694f23e350c3b |
completed | May 6, 2026, 8:20 p.m. |
Created at: April 29, 2026, 6:52 p.m.