Triple
T36017804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kursi (Footstool of God) |
E1041893
|
entity |
| Predicate | commonlyRenderedInEnglishAs |
P3437
|
FINISHED |
| Object | Footstool of God |
—
|
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: Footstool of God | Statement: [Kursi (Footstool of God), commonlyRenderedInEnglishAs, Footstool of God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyRenderedInEnglishAs Context triple: [Kursi (Footstool of God), commonlyRenderedInEnglishAs, Footstool of God]
-
A.
hasEnglishName
chosen
Indicates that an entity is associated with a name expressed in the English language.
-
B.
languageCommonlyCalled
Indicates that one language is commonly referred to or known by a particular alternative name or label.
-
C.
hasEnglishNameVariant
Indicates that one entity is an alternative or variant form of another entity’s name specifically in the English language.
-
D.
isSpokenAs
Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
-
E.
equivalentGivenNameInEnglish
Indicates that two given names are equivalent in meaning or usage when expressed in English.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fee335cb08819097e3a0e09d5ebf49 |
completed | May 9, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69fee2c74fd88190acfc045ab07b7f6b |
completed | May 9, 2026, 7:31 a.m. |
Created at: May 3, 2026, 4:07 p.m.