Triple
T15867832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesis Apocryphon |
E384756
|
entity |
| Predicate | lengthOriginal |
P115508
|
FINISHED |
| Object | approximately 22 columns |
—
|
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: approximately 22 columns | Statement: [Genesis Apocryphon, lengthOriginal, approximately 22 columns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthOriginal Context triple: [Genesis Apocryphon, lengthOriginal, approximately 22 columns]
-
A.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
B.
estimatedOriginalLength
chosen
Indicates the approximated or inferred length that something originally had before any changes, damage, or loss.
-
C.
baseLengthOriginal
Indicates the original or initial length value of a base element before any changes or transformations.
-
D.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
E.
extensionLength
Indicates the length or magnitude of an extension from a reference point or base object.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.