Triple
T4759873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeta |
E105673
|
entity |
| Predicate | lowercaseForm |
P20861
|
FINISHED |
| Object | ζ |
—
|
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: ζ | Statement: [Zeta, lowercaseForm, ζ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowercaseForm Context triple: [Zeta, lowercaseForm, ζ]
-
A.
hasLowercaseForm
chosen
Indicates that one entity is the lowercase version or representation of another entity.
-
B.
letterCase
Indicates the relationship between a character or string and its typographical case (such as uppercase, lowercase, or mixed case).
-
C.
lowerTerminus
Indicates that one entity serves as the lower endpoint or downstream terminus of another entity, such as a route, segment, or connection.
-
D.
hasUppercaseForm
Indicates that one textual entity is the uppercase version or representation of another textual entity.
-
E.
loweredFascesBefore
Indicates that one party lowered their fasces in front of or prior to another party, symbolically acknowledging the other’s higher authority or status.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650dc7fc81909b483ef3c456ae0d |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6225c9488190afee5bb3619d0365 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.