Triple
T3024208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conscience (Piers Plowman) |
E82537
|
entity |
| Predicate | hasSymbolicStatus |
P29171
|
FINISHED |
| Object | embodiment of inner moral law |
—
|
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: embodiment of inner moral law | Statement: [Conscience (Piers Plowman), hasSymbolicStatus, embodiment of inner moral law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSymbolicStatus Context triple: [Conscience (Piers Plowman), hasSymbolicStatus, embodiment of inner moral law]
-
A.
hasSymbolicValue
Indicates that something holds meaning, significance, or representational value beyond its literal or practical function.
-
B.
hasSymbolicForm
chosen
Indicates that one entity serves as the symbolic representation or abstract form of another entity.
-
C.
hasIconicStatus
Indicates that an entity holds a widely recognized, emblematic, or culturally significant status within a particular domain or context.
-
D.
containsSymbolicAct
Indicates that one entity includes or incorporates a symbolic action or gesture associated with another entity.
-
E.
hasStatusLabel
Indicates that an entity is associated with a specific status expressed as a human-readable label.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abac0288190a30b42674eea501f |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.