Triple
T4794081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beriah |
E106669
|
entity |
| Predicate | rankInFourWorlds |
P1944
|
FINISHED |
| Object | second |
—
|
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: second | Statement: [Beriah, rankInFourWorlds, second]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInFourWorlds Context triple: [Beriah, rankInFourWorlds, second]
-
A.
globalRanking
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
-
B.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
C.
rankedAs
chosen
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
D.
rankingInCountry
Indicates the position or level an entity holds within an ordered list specific to a particular country.
-
E.
ordersWorldsFromHighestToLowest
Indicates that it arranges or ranks worlds in a sequence starting from the highest (e.g., most preferred or most valued) down to the lowest.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd66088d588190839acfbac6e1c3dd |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.