Triple
T18773081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Cavity |
E459062
|
entity |
| Predicate | timeScaleOfFormation |
P9981
|
FINISHED |
| Object | tens of millions of years (order of magnitude) |
—
|
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: tens of millions of years (order of magnitude) | Statement: [Local Cavity, timeScaleOfFormation, tens of millions of years (order of magnitude)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeScaleOfFormation Context triple: [Local Cavity, timeScaleOfFormation, tens of millions of years (order of magnitude)]
-
A.
timescale
chosen
Indicates the temporal scale or duration over which a process, relationship, or effect occurs or is evaluated.
-
B.
timeScaleCategory
Indicates the classification of an event or process based on the temporal scale or duration over which it occurs.
-
C.
timeSpanOfCreation
Indicates the period of time during which the creation of an entity took place.
-
D.
timeExistence
Indicates the period or duration during which an entity exists or is valid.
-
E.
timeScaleType
Indicates the type or category of temporal scaling applied to an event, process, or measurement (e.g., real-time, accelerated, aggregated).
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e593378a4081909cc1b0856fce7d7d |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.