Triple
T14325393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apocalypse Tapestry |
E355201
|
entity |
| Predicate | currentLength |
P38723
|
FINISHED |
| Object | approximately 100 meters |
—
|
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 100 meters | Statement: [Apocalypse Tapestry, currentLength, approximately 100 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentLength Context triple: [Apocalypse Tapestry, currentLength, approximately 100 meters]
-
A.
currentLengthNote
chosen
Indicates that an entity’s presently measured or recorded length is being noted or specified.
-
B.
currentHeight
Indicates the present vertical measurement or elevation of an entity at a given point in time.
-
C.
dimensionOfCurrent
Indicates the dimensional property (such as magnitude or units) associated with the current in a given context.
-
D.
outputLength
Indicates the length or size of the result produced by a process, function, or operation.
-
E.
currentCapacity
Indicates the present amount of capacity an entity is using or able to provide at a given time.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883e6a288190b6c22f630a1eef3c |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.