Triple
T2026739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pannotia |
E44423
|
entity |
| Predicate | durationEstimateMa |
P4874
|
FINISHED |
| Object | about 60 |
—
|
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: about 60 | Statement: [Pannotia, durationEstimateMa, about 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationEstimateMa Context triple: [Pannotia, durationEstimateMa, about 60]
-
A.
evaDuration
Indicates the length of time that an extravehicular activity (EVA) lasts or is scheduled to last.
-
B.
timeToComplete
Indicates the duration required for an entity or process to be fully completed.
-
C.
possibleDuration
Indicates the range or specific length of time that an action, event, or state can last or is allowed to last.
-
D.
recurrenceIntervalEstimate
Indicates an estimated length of time between successive occurrences of the same event or condition.
-
E.
hasApproximateDuration
chosen
Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.