Triple
T32551262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Johnstown Flood of 1889 |
E831977
|
entity |
| Predicate | reliefOrganization |
P174919
|
FINISHED |
| Object | American Red Cross |
—
|
NE NERFINISHED |
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: American Red Cross | Statement: [Great Johnstown Flood of 1889, reliefOrganization, American Red Cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reliefOrganization Context triple: [Great Johnstown Flood of 1889, reliefOrganization, American Red Cross]
-
A.
hasReliefEffortFrom
Indicates that a party receives assistance or support through a relief effort provided by another party.
-
B.
humanitarianAccess
Indicates that humanitarian actors are able to reach affected populations and deliver assistance safely, reliably, and without obstruction.
-
C.
humanitarianCrisis
Indicates a situation in which a population faces severe, widespread threats to life, health, or basic living conditions that require urgent humanitarian assistance.
-
D.
rescuesGroup
Indicates that one entity saves or frees a group of entities from danger, harm, or a problematic situation.
-
E.
rescuesFrom
Indicates that one entity saves or frees another entity from a dangerous, harmful, or undesirable situation or source.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 1:02 a.m.