Triple
T11082921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tô Lịch River |
E262046
|
entity |
| Predicate | hasFloodControlRole |
P61303
|
FINISHED |
| Object | urban drainage and flood discharge |
—
|
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: urban drainage and flood discharge | Statement: [Tô Lịch River, hasFloodControlRole, urban drainage and flood discharge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloodControlRole Context triple: [Tô Lịch River, hasFloodControlRole, urban drainage and flood discharge]
-
A.
providesFloodControlFor
Indicates that one entity offers protection or mitigation against flooding for another entity or area.
-
B.
hasFloodControlStructure
Indicates that an entity possesses or is equipped with a structure designed to manage, control, or mitigate flooding.
-
C.
hasFloodProtectionProject
Indicates that a flood protection project exists or is implemented for the referenced entity.
-
D.
hasFloodHistory
Indicates that the subject has experienced one or more flood events in the past.
-
E.
hasWaterControlRole
chosen
Indicates that an entity holds a role or responsibility related to managing, regulating, or overseeing water resources or water systems.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799bf89f48190889f08d2f5dd220a |
completed | April 9, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69d744185a5881909ba4cf151d1798ec |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.