Triple
T7019629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | congregation Watchtower Study |
E162785
|
entity |
| Predicate | commentLengthGuideline |
P75292
|
FINISHED |
| Object | brief and to the point |
—
|
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: brief and to the point | Statement: [congregation Watchtower Study, commentLengthGuideline, brief and to the point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commentLengthGuideline Context triple: [congregation Watchtower Study, commentLengthGuideline, brief and to the point]
-
A.
sentenceLength
Indicates the length or number of units (such as characters, words, or tokens) that a given sentence contains.
-
B.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
hasCategoryLengthRestriction
Indicates that there is a constraint on the allowable length of a category, such as its name, identifier, or structural size.
-
E.
formLength
Indicates the length or extent of a form, typically measured in units such as characters, fields, or physical dimensions.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e5eb904481909a900e2ba9df710b |
completed | March 27, 2026, 8:17 p.m. |
Created at: March 27, 2026, 2:34 p.m.