Triple
T18206380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World State |
E435912
|
entity |
| Predicate | symbolReplaces |
P121608
|
FINISHED |
| Object | Christian cross with the T-model |
—
|
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: Christian cross with the T-model | Statement: [World State, symbolReplaces, Christian cross with the T-model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolReplaces Context triple: [World State, symbolReplaces, Christian cross with the T-model]
-
A.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
-
B.
symbolIs
chosen
Indicates that one entity serves as the symbolic representation or sign of another entity.
-
C.
symbolElement
Indicates that one entity is a constituent element or component that makes up the other entity, which is treated as a symbol.
-
D.
symbolReferenced
Indicates that one symbol is mentioned, cited, or otherwise referred to by another symbol.
-
E.
replacementName
Indicates that one entity serves as a substitute or successor name for another entity, effectively replacing the original designation.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e2234b988190bbe2c2164d61f65f |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.