Triple
T10603671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christ as the light |
E275815
|
entity |
| Predicate | representedBySymbol |
P89328
|
FINISHED |
| Object | candle |
—
|
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: candle | Statement: [Christ as the light, representedBySymbol, candle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedBySymbol Context triple: [Christ as the light, representedBySymbol, candle]
-
A.
representedByAttribute
Indicates that one entity serves as an attribute-based representation or characterization of another entity.
-
B.
symbolizedIn
chosen
Indicates that one entity serves as a symbol or representation of another entity.
-
C.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
D.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf of another entity.
-
E.
representedBySpeaker
Indicates that something is expressed, conveyed, or symbolized through a particular speaker as its representative voice or agent.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4992248190b640d743ccf02c82 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
Created at: April 8, 2026, 7:32 p.m.