Triple
T6788115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilate Stone |
E155862
|
entity |
| Predicate | numberOfLinesPreserved |
P4876
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Pilate Stone, numberOfLinesPreserved, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLinesPreserved Context triple: [Pilate Stone, numberOfLinesPreserved, 4]
-
A.
hasNumberOfLines
chosen
Indicates the relationship that specifies how many lines are associated with a given entity.
-
B.
usesLineFolding
Indicates that an entity applies line folding, breaking long lines into shorter ones according to specific rules or constraints.
-
C.
hasLineStructure
Indicates that one entity possesses or exhibits a linear arrangement or organization of its components.
-
D.
lineNumberingIntroduced
Indicates that a system, document, or text has had line numbering initiated or enabled.
-
E.
preservesLetterCount
Indicates that the transformation or operation leaves the total number of letters in the input unchanged.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2aa2e0c8190b994261826ae001d |
completed | March 27, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.