Triple
T29825733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sichuan earthquake |
E757370
|
entity |
| Predicate | globalRank |
P733
|
FINISHED |
| Object | one of the deadliest earthquakes of the early 21st century |
—
|
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: one of the deadliest earthquakes of the early 21st century | Statement: [Sichuan earthquake, globalRank, one of the deadliest earthquakes of the early 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: globalRank Context triple: [Sichuan earthquake, globalRank, one of the deadliest earthquakes of the early 21st century]
-
A.
globalRanking
chosen
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
-
B.
wealthRanking
Indicates the relative ordering of entities based on their level of wealth or financial resources.
-
C.
goRank
Indicates a ranking or ordered position assigned to an entity within a sequence or hierarchy.
-
D.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
E.
rankingInCountry
Indicates the position or level an entity holds within an ordered list specific to a particular country.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67597ec4081909c0b453a69f14c28 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:31 p.m.