Triple
T469649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heidelberg Catechism |
E8526
|
entity |
| Predicate | numberOfQuestions |
P15109
|
FINISHED |
| Object | 129 |
—
|
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: 129 | Statement: [Heidelberg Catechism, numberOfQuestions, 129]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfQuestions Context triple: [Heidelberg Catechism, numberOfQuestions, 129]
-
A.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
-
B.
numberOfEssays
Indicates the quantity of essays associated with a given entity or context.
-
C.
numberOfParticipants
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
D.
numberOfSongs
Indicates the quantity of songs associated with a given entity.
-
E.
numberOfTargets
Indicates the quantity of target entities associated with or affected by a given subject or event.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efee0ea0819099d87f3727c03bc7 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edebb3988190907992a584b4e260 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef257a548190a96bfa0cf6183976 |
completed | Feb. 28, 2026, 1:35 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.