Triple
T10204679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franciscan Complex rocks |
E238972
|
entity |
| Predicate | youngestAge |
P92700
|
FINISHED |
| Object | Miocene |
—
|
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: Miocene | Statement: [Franciscan Complex rocks, youngestAge, Miocene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngestAge Context triple: [Franciscan Complex rocks, youngestAge, Miocene]
-
A.
oldestVictimAge
Indicates the age of the oldest individual among the victims involved in the event or situation.
-
B.
typicalAgeRangeLower
Indicates the minimum age value that typically marks the lower bound of an expected or common age range for something.
-
C.
isYoungestOf
Indicates that the subject is the youngest member within the specified group or set of related entities.
-
D.
isEarliestAgeOf
Indicates that one value represents the minimum or first age at which a specified condition, event, or state occurs for an entity.
-
E.
youngestEvent
Indicates that the referenced event is the most recent or last-occurring event among a set of events.
- F. None of above. chosen
Provenance (4 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeed8644c8190b497aaf52583fa6d |
completed | April 2, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8b7f348190a585daa70de4d4c8 |
completed | April 1, 2026, 8:14 p.m. |
| PDg | Predicate description generation | batch_69cd7edc6cf081909d95859d880a4059 |
completed | April 1, 2026, 8:23 p.m. |
Created at: March 30, 2026, 9:14 p.m.