Triple
T20581036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xin’anjiang Reservoir |
E505653
|
entity |
| Predicate | roleInDisasterPrevention |
P140648
|
FINISHED |
| Object | mitigation of downstream flooding |
—
|
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: mitigation of downstream flooding | Statement: [Xin’anjiang Reservoir, roleInDisasterPrevention, mitigation of downstream flooding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDisasterPrevention Context triple: [Xin’anjiang Reservoir, roleInDisasterPrevention, mitigation of downstream flooding]
-
A.
roleInRescue
Indicates the specific function or responsibility an entity has within a rescue operation or event.
-
B.
postDisasterRole
Indicates the role or function an entity assumes or performs in the aftermath of a disaster.
-
C.
roleInDisasterMovie
Indicates that an entity has a specific acting or production role in a disaster-themed movie.
-
D.
emergencyPlanningFocus
Indicates that the primary emphasis or subject of emergency planning activities is directed toward a particular entity or aspect.
-
E.
disasterCleanupResponsibility
Indicates that an entity has the duty or obligation to perform cleanup activities following a disaster.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90e98a88190b5cb077973f97e68 |
completed | April 20, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:40 a.m.