Triple
T38228942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Old Rugged Cross |
E1012230
|
entity |
| Predicate | invokesSymbol |
P108502
|
FINISHED |
| Object | rugged wooden cross |
—
|
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: rugged wooden cross | Statement: [The Old Rugged Cross, invokesSymbol, rugged wooden cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: invokesSymbol Context triple: [The Old Rugged Cross, invokesSymbol, rugged wooden cross]
-
A.
invocationOf
Indicates that one entity is the act, event, or instance of calling upon, summoning, or appealing to another entity (such as a function, service, or authority) to perform its role or be brought into effect.
-
B.
carriedSymbol
Indicates that one entity physically or metaphorically bore, transported, or displayed a particular symbol.
-
C.
invokesName
Indicates that one entity calls or references another entity specifically by its name.
-
D.
definesSymbol
chosen
Indicates that one entity specifies or establishes another entity as a symbol representing some concept, value, or object.
-
E.
reverseSymbolizes
Indicates that one entity serves as a symbolic representation of another, but in an inverse or opposite direction to the usual symbolism relationship.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.