Triple
T856452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huai River |
E18501
|
entity |
| Predicate | hasFloodControlProjects |
P7637
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Huai River, hasFloodControlProjects, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloodControlProjects Context triple: [Huai River, hasFloodControlProjects, yes]
-
A.
hasFloodProtectionProject
chosen
Indicates that a flood protection project exists or is implemented for the referenced entity.
-
B.
hasProject
Indicates that an entity is associated with or responsible for a particular project.
-
C.
hasFloodHistory
Indicates that the subject has experienced one or more flood events in the past.
-
D.
hasNotableProject
Indicates that an entity is associated with a project that is distinguished or recognized as significant in some way.
-
E.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac3c172481908ed164ee1579ec28 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa834a588190bca4a0eb83fb3eb6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.