Triple
T4895730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rain |
E109672
|
entity |
| Predicate | helpsExplore |
P52528
|
FINISHED |
| Object | psychological consequences of abuse |
—
|
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: psychological consequences of abuse | Statement: [Rain, helpsExplore, psychological consequences of abuse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsExplore Context triple: [Rain, helpsExplore, psychological consequences of abuse]
-
A.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
B.
explorationSubject
chosen
Indicates that an entity is the focus or target of an exploration, investigation, or exploratory activity carried out by another entity.
-
C.
explored
Indicates that an entity has traveled through, examined, or investigated another entity or area, typically to discover or learn more about it.
-
D.
notableExplorerSponsored
Indicates that one entity (typically a person or organization) provided financial or logistical sponsorship for a notable explorer’s activities or expeditions.
-
E.
explorer
Indicates that an entity engages in the activity of exploring or investigating places, ideas, or domains.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.