Triple
T3439156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dictatus Papae |
E72526
|
entity |
| Predicate | numberOfPropositions |
P48278
|
FINISHED |
| Object | 27 |
—
|
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: 27 | Statement: [Dictatus Papae, numberOfPropositions, 27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPropositions Context triple: [Dictatus Papae, numberOfPropositions, 27]
-
A.
numberOfTruths
Indicates the quantity of statements or propositions that are true within a given context or set.
-
B.
numberOfLaws
Indicates the quantitative count of laws associated with a given entity or context.
-
C.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
-
D.
numberOfSenates
Indicates the total count of senate bodies associated with or present in a given context or entity.
-
E.
hasSevenMainPropositions
Indicates that the subject is characterized by or contains exactly seven primary or central propositions.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f6de1481909b789f4b0e1113d3 |
completed | March 8, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69adae00ad588190bef24373b58a2e1a |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:16 p.m.