Triple
T993551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Constituent Assembly |
E21444
|
entity |
| Predicate | socialEstateRepresentation |
P21668
|
FINISHED |
| Object | clergy |
—
|
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: clergy | Statement: [National Constituent Assembly, socialEstateRepresentation, clergy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialEstateRepresentation Context triple: [National Constituent Assembly, socialEstateRepresentation, clergy]
-
A.
socialBase
Indicates a foundational social relationship or structure that underlies or supports interactions between entities.
-
B.
socialSystem
Indicates a relationship where entities are organized into a structured set of social roles, norms, and interactions that govern their collective behavior.
-
C.
territoryRepresentation
Indicates that one entity serves as a representation, model, or depiction of a specific territory or geographic area for another entity.
-
D.
representsCity
Indicates that one entity serves as the official representative or embodiment of a particular city.
-
E.
socialMedia
Indicates a relationship where one entity uses, is associated with, or interacts through social networking or content-sharing platforms with another entity.
- F. None of above. chosen
Provenance (4 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c5e16881908cd5f7ba2fcd5084 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2af071c819086c374a16307dfe0 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b30efd2c8190b780a6dee086d0aa |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:41 p.m.