Triple
T16774069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saoshyant |
E407676
|
entity |
| Predicate | numberOfSaviors |
P83088
|
FINISHED |
| Object | three |
—
|
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: three | Statement: [Saoshyant, numberOfSaviors, three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSaviors Context triple: [Saoshyant, numberOfSaviors, three]
-
A.
numberOfRescuers
chosen
Indicates the quantity of rescuers involved in or assigned to a particular rescue-related situation or event.
-
B.
estimatedNumberOfPeopleSaved
Indicates the approximate count of individuals whose lives were preserved or harm was averted as a result of a particular action, intervention, or entity.
-
C.
rescuedBy
Indicates that one entity has been saved or brought out of danger by another entity.
-
D.
numberOfChildrenSurvivors
Indicates the count of children who survived a particular event, condition, or situation.
-
E.
usedMeansToRescue
Indicates that one entity employed a particular method, tool, or means in order to carry out a rescue.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b038d0608190be15c758427bb664 |
completed | April 18, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.