Triple
T62915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chi-Rho |
E1248
|
entity |
| Predicate | formedFromLetterShape |
P1464
|
FINISHED |
| Object | Χ |
—
|
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: Χ | Statement: [Chi-Rho, formedFromLetterShape, Χ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formedFromLetterShape Context triple: [Chi-Rho, formedFromLetterShape, Χ]
-
A.
formedBy
Indicates that something comes into existence or is created as a result of a specific agent, process, or combination of components.
-
B.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
C.
leafShape
Indicates the characteristic form or outline of a leaf that an entity possesses or exhibits.
-
D.
formed
Indicates that one entity came into existence, shape, or organization as a result of the actions or processes involving another entity.
-
E.
formOfRecognition
Indicates a relationship where one entity serves as an official acknowledgment, honor, or validation granted to another entity.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24ea3c44081908fa3856969881d1f |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.