Triple
T24710230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpine Fault |
E612005
|
entity |
| Predicate | displacementSinceFormation |
P3149
|
FINISHED |
| Object | hundreds of kilometres of lateral offset |
—
|
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: hundreds of kilometres of lateral offset | Statement: [Alpine Fault, displacementSinceFormation, hundreds of kilometres of lateral offset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displacementSinceFormation Context triple: [Alpine Fault, displacementSinceFormation, hundreds of kilometres of lateral offset]
-
A.
displacement
chosen
Indicates a change in an entity’s position from one location to another, typically specifying both direction and magnitude of that movement.
-
B.
displacementRate
Indicates the rate at which an entity’s position changes over time relative to a reference point or frame.
-
C.
firstDisplacement
Indicates the initial change in position of an entity from its starting point in a given context or sequence of movements.
-
D.
displacementOccurred
Indicates that an entity has been moved from its original position or location to a different one.
-
E.
displacementPeriod
Indicates the time interval over which an entity is moved or shifted from one position or state to another.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:24 a.m.