Triple
T9625758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erathem |
E232458
|
entity |
| Predicate | representsDurationOf |
P24237
|
FINISHED |
| Object | tens to hundreds of millions of years |
—
|
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 to hundreds of millions of years | Statement: [Erathem, representsDurationOf, tens to hundreds of millions of years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsDurationOf Context triple: [Erathem, representsDurationOf, tens to hundreds of millions of years]
-
A.
representsTimeIn
Indicates that one entity expresses, encodes, or specifies the time at which another entity occurs, is valid, or is observed.
-
B.
durationUntil
Indicates the length of time remaining from a given starting point until a specified future event or state occurs.
-
C.
possibleDuration
chosen
Indicates the range or specific length of time that an action, event, or state can last or is allowed to last.
-
D.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
E.
representsDateRange
Indicates that a subject is associated with, valid for, or applicable during a specific start-to-end date range.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9afb67c88190aa170716f0033752 |
completed | April 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:10 p.m.