Triple
T338020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chi-Rho monogram |
E6770
|
entity |
| Predicate | secondLetterOf |
P3819
|
FINISHED |
| Object | Greek word "Χριστός" |
—
|
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: Greek word "Χριστός" | Statement: [Chi-Rho monogram, secondLetterOf, Greek word "Χριστός"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondLetterOf Context triple: [Chi-Rho monogram, secondLetterOf, Greek word "Χριστός"]
-
A.
secondLetter
chosen
Indicates that one entity is the second letter (in sequence or position) of another entity, typically a string or word.
-
B.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
C.
secondaryPosition
Indicates that an entity holds an additional, non-primary role, location, or status alongside its main one.
-
D.
secondOnlyTo
Indicates that one entity ranks immediately below another in degree, importance, or quality, with only that other entity surpassing it.
-
E.
secondPhase
Indicates that an entity is in, or has progressed to, the second phase or stage of a multi-phase process or sequence.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eae23b0c819081f8bf9ac26685ab |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95067e88190a914a1c1d0283dfc |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.