Triple
T3508505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red River (Vietnam) |
E74138
|
entity |
| Predicate | floodControl |
P25010
|
FINISHED |
| Object | protected by extensive dike system in Hanoi |
—
|
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: protected by extensive dike system in Hanoi | Statement: [Red River (Vietnam), floodControl, protected by extensive dike system in Hanoi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floodControl Context triple: [Red River (Vietnam), floodControl, protected by extensive dike system in Hanoi]
-
A.
providesFloodControlFor
Indicates that one entity offers protection or mitigation against flooding for another entity or area.
-
B.
hasFloodControlStructure
chosen
Indicates that an entity possesses or is equipped with a structure designed to manage, control, or mitigate flooding.
-
C.
flowControl
Indicates a relationship where one entity regulates, directs, or manages the rate or sequence of another entity’s operations or movement.
-
D.
hasFloodProtectionProject
Indicates that a flood protection project exists or is implemented for the referenced entity.
-
E.
floodGauge
Indicates that a device or measurement point is used to monitor and record the level or intensity of flooding at a specific location.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0cc394819087a9b598023f4f93 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.